Finish version ready for Probevortrag

This commit is contained in:
2024-06-20 01:49:40 +02:00
parent 6d04898997
commit 16f8dec75c
45 changed files with 1995 additions and 453 deletions

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@@ -2,11 +2,13 @@
\usepackage{tikz}
\usepackage{tikz-3dplot}
\usetikzlibrary{spy, external}
\usetikzlibrary{spy, external, intersections}
\tikzexternalize[prefix=build/]
\usepackage{pgfplots}
\pgfplotsset{compat=newest}
\usepgfplotslibrary{fillbetween}
\usepackage{listings}
\usepackage{subcaption}
@@ -23,6 +25,15 @@
\pgfplotsset{colorscheme/cel}
\input{common.tex}
\newcommand{\lineintext}[1]{%
\begin{tikzpicture}
\draw[#1] (0,0) -- (1.5em,0);
% Dummy node taking up the space of a letter to fix spacing
\node[outer sep=0, inner sep=0] () at (0.75em,0) {\phantom{a}};
\end{tikzpicture}%
}
%
%

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@@ -0,0 +1,43 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09294215198517218,1.0,0.5,201.0
1.0,0.05,0.09334834412233793,0.9617224880382775,0.4902439024390244,209.0
1.0,0.15,0.3614525412154912,1.0,0.5,201.0
1.5,0.01,0.07194420056579846,1.0,0.5,201.0
1.5,0.05,0.06875816993464053,0.8933333333333333,0.47183098591549294,225.0
1.5,0.15,0.3645498000195103,1.0,0.5,201.0
2.0,0.01,0.05559427562494192,0.95260663507109,0.4878640776699029,211.0
2.0,0.05,0.04428785403050109,0.6979166666666666,0.4110429447852761,288.0
2.0,0.15,0.36015998439176666,1.0,0.5,201.0
2.5,0.01,0.039622300533116474,0.9262672811059908,0.48086124401913877,217.0
2.5,0.05,0.026119761630142253,0.49264705882352944,0.33004926108374383,408.0
2.5,0.15,0.35462393912789,1.0,0.5,201.0
3.0,0.01,0.026801629742806213,0.8701298701298701,0.4652777777777778,231.0
3.0,0.05,0.013523644752018454,0.29558823529411765,0.22814982973893302,680.0
3.0,0.15,0.3485918877354863,0.9852941176470589,0.4962962962962963,204.0
3.5,0.01,0.015721925133689838,0.730909090909091,0.4222689075630252,275.0
3.5,0.05,0.00497437253642626,0.12909441233140656,0.11433447098976109,1557.0
3.5,0.15,0.34655667144906743,0.9804878048780488,0.49507389162561577,205.0
4.0,0.01,0.008503954067814972,0.5552486187845304,0.35701598579040855,362.0
4.0,0.05,0.0016962415542537245,0.04846877260670364,0.04622815087396504,4147.0
4.0,0.15,0.33361211783291517,0.95260663507109,0.4878640776699029,211.0
4.5,0.01,0.0038036631456536485,0.3311367380560132,0.24876237623762376,607.0
4.5,0.05,0.0004311524949272414,0.013114968028187395,0.01294519224576544,15326.0
4.5,0.15,0.32104485629868384,0.9178082191780822,0.4785714285714286,219.0
5.0,0.01,0.001970141184787807,0.21314952279957583,0.1756993006993007,943.0
5.0,0.05,0.00010190725313352,0.003499669185499878,0.0034874642144530235,57434.0
5.0,0.15,0.31876053588856357,0.9095022624434389,0.476303317535545,221.0
5.5,0.01,0.0007458062231664675,0.09074492099322799,0.08319536423841059,2215.0
5.5,0.05,1.696078431372549e-05,0.00064,0.0006395906619763352,100000.0
5.5,0.15,0.3001977615080367,0.8626609442060086,0.4631336405529954,233.0
6.0,0.01,0.0002874480343055419,0.0419449081803005,0.04025635890246345,4792.0
6.0,0.05,4.166666666666667e-06,0.00016,0.00015997440409534473,100000.0
6.0,0.15,0.2734660404085589,0.7642585551330798,0.4331896551724138,263.0
6.5,0.01,9.399994278264352e-05,0.013965121934273605,0.013772783335617376,14393.0
6.5,0.05,7.352941176470589e-07,3e-05,2.999910002699919e-05,100000.0
6.5,0.15,0.23259493670886075,0.6360759493670886,0.38878143133462284,316.0
7.0,0.01,3.147486731844622e-05,0.005121410553672892,0.005095315351855608,39247.0
7.0,0.05,0.0,0.0,0.0,100000.0
7.0,0.15,0.18316680739281357,0.48086124401913877,0.3247172859450727,418.0
7.5,0.01,7.696078431372549e-06,0.00135,0.0013481799570579716,100000.0
7.5,0.05,0.0,0.0,0.0,100000.0
7.5,0.15,0.10183364789766174,0.26871657754010697,0.21180189673340358,748.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09294215198517218 1.0 0.5 201.0
3 1.0 0.05 0.09334834412233793 0.9617224880382775 0.4902439024390244 209.0
4 1.0 0.15 0.3614525412154912 1.0 0.5 201.0
5 1.5 0.01 0.07194420056579846 1.0 0.5 201.0
6 1.5 0.05 0.06875816993464053 0.8933333333333333 0.47183098591549294 225.0
7 1.5 0.15 0.3645498000195103 1.0 0.5 201.0
8 2.0 0.01 0.05559427562494192 0.95260663507109 0.4878640776699029 211.0
9 2.0 0.05 0.04428785403050109 0.6979166666666666 0.4110429447852761 288.0
10 2.0 0.15 0.36015998439176666 1.0 0.5 201.0
11 2.5 0.01 0.039622300533116474 0.9262672811059908 0.48086124401913877 217.0
12 2.5 0.05 0.026119761630142253 0.49264705882352944 0.33004926108374383 408.0
13 2.5 0.15 0.35462393912789 1.0 0.5 201.0
14 3.0 0.01 0.026801629742806213 0.8701298701298701 0.4652777777777778 231.0
15 3.0 0.05 0.013523644752018454 0.29558823529411765 0.22814982973893302 680.0
16 3.0 0.15 0.3485918877354863 0.9852941176470589 0.4962962962962963 204.0
17 3.5 0.01 0.015721925133689838 0.730909090909091 0.4222689075630252 275.0
18 3.5 0.05 0.00497437253642626 0.12909441233140656 0.11433447098976109 1557.0
19 3.5 0.15 0.34655667144906743 0.9804878048780488 0.49507389162561577 205.0
20 4.0 0.01 0.008503954067814972 0.5552486187845304 0.35701598579040855 362.0
21 4.0 0.05 0.0016962415542537245 0.04846877260670364 0.04622815087396504 4147.0
22 4.0 0.15 0.33361211783291517 0.95260663507109 0.4878640776699029 211.0
23 4.5 0.01 0.0038036631456536485 0.3311367380560132 0.24876237623762376 607.0
24 4.5 0.05 0.0004311524949272414 0.013114968028187395 0.01294519224576544 15326.0
25 4.5 0.15 0.32104485629868384 0.9178082191780822 0.4785714285714286 219.0
26 5.0 0.01 0.001970141184787807 0.21314952279957583 0.1756993006993007 943.0
27 5.0 0.05 0.00010190725313352 0.003499669185499878 0.0034874642144530235 57434.0
28 5.0 0.15 0.31876053588856357 0.9095022624434389 0.476303317535545 221.0
29 5.5 0.01 0.0007458062231664675 0.09074492099322799 0.08319536423841059 2215.0
30 5.5 0.05 1.696078431372549e-05 0.00064 0.0006395906619763352 100000.0
31 5.5 0.15 0.3001977615080367 0.8626609442060086 0.4631336405529954 233.0
32 6.0 0.01 0.0002874480343055419 0.0419449081803005 0.04025635890246345 4792.0
33 6.0 0.05 4.166666666666667e-06 0.00016 0.00015997440409534473 100000.0
34 6.0 0.15 0.2734660404085589 0.7642585551330798 0.4331896551724138 263.0
35 6.5 0.01 9.399994278264352e-05 0.013965121934273605 0.013772783335617376 14393.0
36 6.5 0.05 7.352941176470589e-07 3e-05 2.999910002699919e-05 100000.0
37 6.5 0.15 0.23259493670886075 0.6360759493670886 0.38878143133462284 316.0
38 7.0 0.01 3.147486731844622e-05 0.005121410553672892 0.005095315351855608 39247.0
39 7.0 0.05 0.0 0.0 0.0 100000.0
40 7.0 0.15 0.18316680739281357 0.48086124401913877 0.3247172859450727 418.0
41 7.5 0.01 7.696078431372549e-06 0.00135 0.0013481799570579716 100000.0
42 7.5 0.05 0.0 0.0 0.0 100000.0
43 7.5 0.15 0.10183364789766174 0.26871657754010697 0.21180189673340358 748.0

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@@ -0,0 +1,43 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09265191225004854,0.995049504950495,0.4987593052109181,202.0
1.0,0.05,0.10770697167755991,0.9305555555555556,0.48201438848920863,216.0
1.0,0.15,0.4689298605014145,1.0,0.5,201.0
1.5,0.01,0.07139506520311474,0.9617224880382775,0.4902439024390244,209.0
1.5,0.05,0.08148194900277708,0.8626609442060086,0.4631336405529954,233.0
1.5,0.15,0.4670937682003494,0.995049504950495,0.4987593052109181,202.0
2.0,0.01,0.05261590617555433,0.9392523364485982,0.4843373493975904,214.0
2.0,0.05,0.05803635322742236,0.7335766423357665,0.4231578947368421,274.0
2.0,0.15,0.4682226124280558,1.0,0.5,201.0
2.5,0.01,0.03390692376535676,0.8340248962655602,0.45475113122171945,241.0
2.5,0.05,0.029898311681992897,0.4987593052109181,0.33278145695364236,403.0
2.5,0.15,0.4643693298214808,1.0,0.5,201.0
3.0,0.01,0.018720975232198143,0.6611842105263158,0.39801980198019804,304.0
3.0,0.05,0.015093271351093628,0.30547112462006076,0.2339930151338766,658.0
3.0,0.15,0.46675934055214124,1.0,0.5,201.0
3.5,0.01,0.009959374870455583,0.4249471458773784,0.29821958456973297,473.0
3.5,0.05,0.006461336437162384,0.15296803652968036,0.13267326732673268,1314.0
3.5,0.15,0.4675305765870705,0.995049504950495,0.4987593052109181,202.0
4.0,0.01,0.004750353749747321,0.25902061855670105,0.20573183213920163,776.0
4.0,0.05,0.002468553143346789,0.06862410378968932,0.06421725239616613,2929.0
4.0,0.15,0.46219512195121953,0.9804878048780488,0.49507389162561577,205.0
4.5,0.01,0.0019926190560409372,0.12086590499098016,0.10783261802575107,1663.0
4.5,0.05,0.0007676598227635753,0.024922504649721018,0.024316477135252843,8065.0
4.5,0.15,0.4540441176470588,0.9663461538461539,0.49144254278728605,208.0
5.0,0.01,0.0006859197237399182,0.048492159227985526,0.04624942475839853,4145.0
5.0,0.05,0.00020880982157275857,0.00769967439187895,0.007640842393370334,26105.0
5.0,0.15,0.4459409932197178,0.9392523364485982,0.4843373493975904,214.0
5.5,0.01,0.00023318487370774954,0.017353017353017353,0.01705702647657841,11583.0
5.5,0.05,5.81962642877056e-05,0.0023815165876777252,0.002364066193853428,84400.0
5.5,0.15,0.41104631507775524,0.8663793103448276,0.46420323325635104,232.0
6.0,0.01,6.233759863306931e-05,0.004655903268397767,0.004634326293461219,43171.0
6.0,0.05,1.4558823529411765e-05,0.00065,0.0006495777744466097,100000.0
6.0,0.15,0.36846096929337774,0.7584905660377359,0.4313304721030043,265.0
6.5,0.01,1.323529411764706e-05,0.00105,0.0010488986564107688,100000.0
6.5,0.05,3.92156862745098e-06,0.00018,0.00017996760583095044,100000.0
6.5,0.15,0.3075906120023767,0.6090909090909091,0.3785310734463277,330.0
7.0,0.01,2.7450980392156863e-06,0.00024,0.00023994241382068303,100000.0
7.0,0.05,5.88235294117647e-07,3e-05,2.999910002699919e-05,100000.0
7.0,0.15,0.22090950545122912,0.4249471458773784,0.29821958456973297,473.0
7.5,0.01,6.372549019607843e-07,6e-05,5.999640021598704e-05,100000.0
7.5,0.05,2.941176470588235e-07,1e-05,9.99990000099999e-06,100000.0
7.5,0.15,0.1561304198664661,0.27052489905787347,0.2129237288135593,743.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09265191225004854 0.995049504950495 0.4987593052109181 202.0
3 1.0 0.05 0.10770697167755991 0.9305555555555556 0.48201438848920863 216.0
4 1.0 0.15 0.4689298605014145 1.0 0.5 201.0
5 1.5 0.01 0.07139506520311474 0.9617224880382775 0.4902439024390244 209.0
6 1.5 0.05 0.08148194900277708 0.8626609442060086 0.4631336405529954 233.0
7 1.5 0.15 0.4670937682003494 0.995049504950495 0.4987593052109181 202.0
8 2.0 0.01 0.05261590617555433 0.9392523364485982 0.4843373493975904 214.0
9 2.0 0.05 0.05803635322742236 0.7335766423357665 0.4231578947368421 274.0
10 2.0 0.15 0.4682226124280558 1.0 0.5 201.0
11 2.5 0.01 0.03390692376535676 0.8340248962655602 0.45475113122171945 241.0
12 2.5 0.05 0.029898311681992897 0.4987593052109181 0.33278145695364236 403.0
13 2.5 0.15 0.4643693298214808 1.0 0.5 201.0
14 3.0 0.01 0.018720975232198143 0.6611842105263158 0.39801980198019804 304.0
15 3.0 0.05 0.015093271351093628 0.30547112462006076 0.2339930151338766 658.0
16 3.0 0.15 0.46675934055214124 1.0 0.5 201.0
17 3.5 0.01 0.009959374870455583 0.4249471458773784 0.29821958456973297 473.0
18 3.5 0.05 0.006461336437162384 0.15296803652968036 0.13267326732673268 1314.0
19 3.5 0.15 0.4675305765870705 0.995049504950495 0.4987593052109181 202.0
20 4.0 0.01 0.004750353749747321 0.25902061855670105 0.20573183213920163 776.0
21 4.0 0.05 0.002468553143346789 0.06862410378968932 0.06421725239616613 2929.0
22 4.0 0.15 0.46219512195121953 0.9804878048780488 0.49507389162561577 205.0
23 4.5 0.01 0.0019926190560409372 0.12086590499098016 0.10783261802575107 1663.0
24 4.5 0.05 0.0007676598227635753 0.024922504649721018 0.024316477135252843 8065.0
25 4.5 0.15 0.4540441176470588 0.9663461538461539 0.49144254278728605 208.0
26 5.0 0.01 0.0006859197237399182 0.048492159227985526 0.04624942475839853 4145.0
27 5.0 0.05 0.00020880982157275857 0.00769967439187895 0.007640842393370334 26105.0
28 5.0 0.15 0.4459409932197178 0.9392523364485982 0.4843373493975904 214.0
29 5.5 0.01 0.00023318487370774954 0.017353017353017353 0.01705702647657841 11583.0
30 5.5 0.05 5.81962642877056e-05 0.0023815165876777252 0.002364066193853428 84400.0
31 5.5 0.15 0.41104631507775524 0.8663793103448276 0.46420323325635104 232.0
32 6.0 0.01 6.233759863306931e-05 0.004655903268397767 0.004634326293461219 43171.0
33 6.0 0.05 1.4558823529411765e-05 0.00065 0.0006495777744466097 100000.0
34 6.0 0.15 0.36846096929337774 0.7584905660377359 0.4313304721030043 265.0
35 6.5 0.01 1.323529411764706e-05 0.00105 0.0010488986564107688 100000.0
36 6.5 0.05 3.92156862745098e-06 0.00018 0.00017996760583095044 100000.0
37 6.5 0.15 0.3075906120023767 0.6090909090909091 0.3785310734463277 330.0
38 7.0 0.01 2.7450980392156863e-06 0.00024 0.00023994241382068303 100000.0
39 7.0 0.05 5.88235294117647e-07 3e-05 2.999910002699919e-05 100000.0
40 7.0 0.15 0.22090950545122912 0.4249471458773784 0.29821958456973297 473.0
41 7.5 0.01 6.372549019607843e-07 6e-05 5.999640021598704e-05 100000.0
42 7.5 0.05 2.941176470588235e-07 1e-05 9.99990000099999e-06 100000.0
43 7.5 0.15 0.1561304198664661 0.27052489905787347 0.2129237288135593 743.0

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@@ -0,0 +1,9 @@
{
"duration": 396.52261003799504,
"name": "2d_BER_FER_DFR_20433484_variance_001",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"omega": 0.01,
"K": 200,
"min_var_k": 100,
"end_time": "2023-09-07 00:29:56.518459"
}

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@@ -0,0 +1,290 @@
omega,gamma,BER,FER,DFR,num_iterations
0.0,0.0,1.0,1.0,0.0,201.0
0.0,0.01,1.0,1.0,0.0,201.0
0.0,0.02,1.0,1.0,0.0,201.0
0.0,0.03,1.0,1.0,0.0,201.0
0.0,0.04,1.0,1.0,0.0,201.0
0.0,0.05,1.0,1.0,0.0,201.0
0.0,0.06,1.0,1.0,0.0,201.0
0.0,0.07,1.0,1.0,0.0,201.0
0.0,0.08,1.0,1.0,0.0,201.0
0.0,0.09,1.0,1.0,0.0,201.0
0.0,0.1,1.0,1.0,0.0,201.0
0.0,0.11,1.0,1.0,0.0,201.0
0.0,0.12,1.0,1.0,0.0,201.0
0.0,0.13,1.0,1.0,0.0,201.0
0.0,0.14,1.0,1.0,0.0,201.0
0.0,0.15,1.0,1.0,0.0,201.0
0.0,0.16,1.0,1.0,0.0,201.0
0.01,0.0,0.057091991025265826,1.0,0.5,201.0
0.01,0.01,0.0041774755194091935,0.2395709177592372,0.19326923076923078,839.0
0.01,0.02,0.002950345134713872,0.1342685370741483,0.11837455830388692,1497.0
0.01,0.03,0.00285125884673396,0.11893491124260355,0.10629296668429403,1690.0
0.01,0.04,0.0030998140111593306,0.12461252324860508,0.11080485115766263,1613.0
0.01,0.05,0.002078408532894812,0.058532323820617356,0.05529573590096286,3434.0
0.01,0.06,0.0021454243527437625,0.0595202842759846,0.056176634991615425,3377.0
0.01,0.07,0.002285041000527195,0.06511175898931001,0.06113138686131387,3087.0
0.01,0.08,0.0023736675878405053,0.0674496644295302,0.06318767683118516,2980.0
0.01,0.09,0.0025026245385891834,0.0694300518134715,0.06492248062015504,2895.0
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0.12,0.13,0.008028888219516044,0.14703730797366496,0.12818877551020408,1367.0
0.12,0.14,0.024610529143164115,0.27534246575342464,0.2158968850698174,730.0
0.12,0.15,0.10021986735870819,0.7389705882352942,0.4249471458773784,272.0
0.12,0.16,0.20245551924473493,0.9305555555555556,0.48201438848920863,216.0
0.13,0.0,0.055433616232562676,1.0,0.5,201.0
0.13,0.01,0.02453337104072398,0.9663461538461539,0.49144254278728605,208.0
0.13,0.02,0.0112373469243293,0.7256317689530686,0.4205020920502092,277.0
0.13,0.03,0.006045751633986928,0.41875,0.29515418502202645,480.0
0.13,0.04,0.004459823144944252,0.2627450980392157,0.2080745341614907,765.0
0.13,0.05,0.0025254330164629643,0.1221142162818955,0.10882512181916622,1646.0
0.13,0.06,0.00213346474674872,0.08214139762975071,0.07590634441087614,2447.0
0.13,0.07,0.0023624727668845316,0.09305555555555556,0.08513341804320203,2160.0
0.13,0.08,0.00216747545810118,0.08773461370580532,0.08065810593900481,2291.0
0.13,0.09,0.0022911338448422846,0.08739130434782609,0.08036785285885646,2300.0
0.13,0.1,0.0024454226134898406,0.09115646258503401,0.08354114713216958,2205.0
0.13,0.11,0.0029128672745694023,0.10182370820668693,0.09241379310344827,1974.0
0.13,0.12,0.0038016928930010583,0.11538461538461539,0.10344827586206896,1742.0
0.13,0.13,0.0063501128606782515,0.1393897364771151,0.12233718807060255,1442.0
0.13,0.14,0.015492095654192786,0.2163616792249731,0.17787610619469027,929.0
0.13,0.15,0.07338264647176236,0.6017964071856288,0.37570093457943926,334.0
0.13,0.16,0.1704391433992952,0.9262672811059908,0.48086124401913877,217.0
0.14,0.0,0.05614086430592137,1.0,0.5,201.0
0.14,0.01,0.026127926898914907,0.9757281553398058,0.49385749385749383,206.0
0.14,0.02,0.013760926057169855,0.8072289156626506,0.44666666666666666,249.0
0.14,0.03,0.006988378875577691,0.459954233409611,0.31504702194357365,437.0
0.14,0.04,0.004697986577181208,0.2697986577181208,0.2124735729386892,745.0
0.14,0.05,0.003210388413808989,0.14757709251101322,0.12859884836852206,1362.0
0.14,0.06,0.0022815271612485932,0.09082693176683236,0.08326429163214581,2213.0
0.14,0.07,0.002730796335447498,0.1062367864693446,0.09603440038222646,1892.0
0.14,0.08,0.002599640167108834,0.104199066874028,0.09436619718309859,1929.0
0.14,0.09,0.0026604976841520626,0.10166919575113809,0.09228650137741047,1977.0
0.14,0.1,0.0027447174891305384,0.0975254730713246,0.08885941644562334,2061.0
0.14,0.11,0.0030752384461091324,0.10490605427974947,0.0949456778460085,1916.0
0.14,0.12,0.004087690631808279,0.11166666666666666,0.10044977511244378,1800.0
0.14,0.13,0.0057935107674211995,0.12827058072750477,0.11368778280542986,1567.0
0.14,0.14,0.013657156957652374,0.19457889641819942,0.16288492706645058,1033.0
0.14,0.15,0.045210651828298885,0.4527027027027027,0.3116279069767442,444.0
0.14,0.16,0.13827985739750445,0.9136363636363637,0.47743467933491684,220.0
0.15,0.0,0.05548239196175983,1.0,0.5,201.0
0.15,0.01,0.0268762677484787,0.9901477832512315,0.4975247524752475,203.0
0.15,0.02,0.015495867768595042,0.8305785123966942,0.45372460496614,242.0
0.15,0.03,0.007664176781823841,0.5317460317460317,0.3471502590673575,378.0
0.15,0.04,0.0047050383998649675,0.2883787661406026,0.22383073496659242,697.0
0.15,0.05,0.00317553316147176,0.1601593625498008,0.13804945054945056,1255.0
0.15,0.06,0.0026152345755055947,0.10523560209424083,0.09521553765987684,1910.0
0.15,0.07,0.002546473134708429,0.10441558441558442,0.09454374412041393,1925.0
0.15,0.08,0.002556059937372591,0.10771704180064309,0.09724238026124818,1866.0
0.15,0.09,0.0027171007222918913,0.09965294992563213,0.09062218214607755,2017.0
0.15,0.1,0.0028332668487321896,0.10485133020344288,0.09490084985835694,1917.0
0.15,0.11,0.003317567708659609,0.10702875399361023,0.09668109668109669,1878.0
0.15,0.12,0.004692974368430758,0.12601880877742946,0.11191536748329621,1595.0
0.15,0.13,0.006154788237793524,0.12810707456978968,0.1135593220338983,1569.0
0.15,0.14,0.009643994168228748,0.15250379362670713,0.13232389730085584,1318.0
0.15,0.15,0.025075686840392724,0.29004329004329005,0.22483221476510068,693.0
0.15,0.16,0.10063904104151782,0.8137651821862348,0.4486607142857143,247.0
0.16,0.0,0.05479953175299971,1.0,0.5,201.0
0.16,0.01,0.029484207476093885,0.9901477832512315,0.4975247524752475,203.0
0.16,0.02,0.015307877536979705,0.881578947368421,0.46853146853146854,228.0
0.16,0.03,0.008077260755048289,0.6,0.375,335.0
0.16,0.04,0.005392989114151603,0.34125636672325976,0.25443037974683547,589.0
0.16,0.05,0.003494241562796122,0.18680297397769516,0.15740015661707127,1076.0
0.16,0.06,0.0026206403451368185,0.1242274412855377,0.11050027487630566,1618.0
0.16,0.07,0.003343513792430201,0.14295874822190613,0.12507778469197262,1406.0
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0.16,0.09,0.002799969933208771,0.11007667031763417,0.09916132215096202,1826.0
0.16,0.1,0.002798809292693975,0.11056105610561057,0.09955423476968796,1818.0
0.16,0.11,0.003268887208321003,0.11235326998323085,0.10100502512562815,1789.0
0.16,0.12,0.004284764753358971,0.12167070217917676,0.1084727468969239,1652.0
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0.16,0.15,0.01943839264100702,0.24814814814814815,0.19881305637982197,810.0
0.16,0.16,0.07776132035548032,0.7230215827338129,0.4196242171189979,278.0
1 omega gamma BER FER DFR num_iterations
2 0.0 0.0 1.0 1.0 0.0 201.0
3 0.0 0.01 1.0 1.0 0.0 201.0
4 0.0 0.02 1.0 1.0 0.0 201.0
5 0.0 0.03 1.0 1.0 0.0 201.0
6 0.0 0.04 1.0 1.0 0.0 201.0
7 0.0 0.05 1.0 1.0 0.0 201.0
8 0.0 0.06 1.0 1.0 0.0 201.0
9 0.0 0.07 1.0 1.0 0.0 201.0
10 0.0 0.08 1.0 1.0 0.0 201.0
11 0.0 0.09 1.0 1.0 0.0 201.0
12 0.0 0.1 1.0 1.0 0.0 201.0
13 0.0 0.11 1.0 1.0 0.0 201.0
14 0.0 0.12 1.0 1.0 0.0 201.0
15 0.0 0.13 1.0 1.0 0.0 201.0
16 0.0 0.14 1.0 1.0 0.0 201.0
17 0.0 0.15 1.0 1.0 0.0 201.0
18 0.0 0.16 1.0 1.0 0.0 201.0
19 0.01 0.0 0.057091991025265826 1.0 0.5 201.0
20 0.01 0.01 0.0041774755194091935 0.2395709177592372 0.19326923076923078 839.0
21 0.01 0.02 0.002950345134713872 0.1342685370741483 0.11837455830388692 1497.0
22 0.01 0.03 0.00285125884673396 0.11893491124260355 0.10629296668429403 1690.0
23 0.01 0.04 0.0030998140111593306 0.12461252324860508 0.11080485115766263 1613.0
24 0.01 0.05 0.002078408532894812 0.058532323820617356 0.05529573590096286 3434.0
25 0.01 0.06 0.0021454243527437625 0.0595202842759846 0.056176634991615425 3377.0
26 0.01 0.07 0.002285041000527195 0.06511175898931001 0.06113138686131387 3087.0
27 0.01 0.08 0.0023736675878405053 0.0674496644295302 0.06318767683118516 2980.0
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36 0.02 0.0 0.05582382206613989 1.0 0.5 201.0
37 0.02 0.01 0.005065359477124183 0.268 0.2113564668769716 750.0
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47 0.02 0.11 0.004019607843137255 0.1005 0.09132212630622444 2000.0
48 0.02 0.12 0.044849023090586145 0.35701598579040855 0.2630890052356021 563.0
49 0.02 0.13 0.2110159024239617 0.7913385826771654 0.44175824175824174 254.0
50 0.02 0.14 0.3618113912231559 0.9571428571428572 0.48905109489051096 210.0
51 0.02 0.15 0.4215451730931607 0.9617224880382775 0.4902439024390244 209.0
52 0.02 0.16 0.4651985172178324 1.0 0.5 201.0
53 0.03 0.0 0.05538484050336553 1.0 0.5 201.0
54 0.03 0.01 0.006020700963312154 0.3501742160278746 0.2593548387096774 574.0
55 0.03 0.02 0.0032983030799326692 0.1554524361948956 0.13453815261044177 1293.0
56 0.03 0.03 0.0030084345233767178 0.1242274412855377 0.11050027487630566 1618.0
57 0.03 0.04 0.002758751902587519 0.11472602739726027 0.10291858678955453 1752.0
58 0.03 0.05 0.0016949039220143616 0.04569220277335758 0.043695652173913045 4399.0
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60 0.03 0.07 0.0019118978126920973 0.049617378425080225 0.047271872060206964 4051.0
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62 0.03 0.09 0.0020357725638060235 0.05413412335039052 0.05135411343893715 3713.0
63 0.03 0.1 0.0022966681079590674 0.06423777564717162 0.06036036036036036 3129.0
64 0.03 0.11 0.0032235260252633006 0.08678756476683938 0.07985697258641239 2316.0
65 0.03 0.12 0.026600553766175056 0.2896253602305475 0.22371364653243847 694.0
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67 0.03 0.14 0.31949384404924763 0.9348837209302325 0.4831730769230769 215.0
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69 0.03 0.16 0.44691945405613226 0.9852941176470589 0.4962962962962963 204.0
70 0.04 0.0 0.056701785191688614 1.0 0.5 201.0
71 0.04 0.01 0.006624558717196206 0.4360086767895879 0.30362537764350456 461.0
72 0.04 0.02 0.0035823647837046812 0.1734253666954271 0.14779411764705883 1159.0
73 0.04 0.03 0.00277317499769861 0.11795774647887323 0.10551181102362205 1704.0
74 0.04 0.04 0.00247384177038513 0.09867452135493372 0.08981233243967829 2037.0
75 0.04 0.05 0.0014224007802884282 0.039676273193841295 0.03816214163660528 5066.0
76 0.04 0.06 0.0015219594117243356 0.04138357010500309 0.039739027283511266 4857.0
77 0.04 0.07 0.001592531228789086 0.04321651257794023 0.041426215993404784 4651.0
78 0.04 0.08 0.0016809598582759593 0.0458590006844627 0.04384816753926701 4383.0
79 0.04 0.09 0.001786414206892393 0.051512045105074324 0.048988544967097244 3902.0
80 0.04 0.1 0.0019576835909752054 0.057791834387579066 0.05463441152487089 3478.0
81 0.04 0.11 0.0026098231304579104 0.07573474001507159 0.07040280210157618 2654.0
82 0.04 0.12 0.01772989288307916 0.2326388888888889 0.18873239436619718 864.0
83 0.04 0.13 0.12176595877967801 0.6421725239616614 0.39105058365758755 313.0
84 0.04 0.14 0.2676683716965047 0.8739130434782608 0.46635730858468677 230.0
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87 0.05 0.0 0.05718954248366013 1.0 0.5 201.0
88 0.05 0.01 0.007312761170041787 0.5491803278688525 0.3544973544973545 366.0
89 0.05 0.02 0.00354619740652611 0.18908748824082786 0.15901898734177214 1063.0
90 0.05 0.03 0.0027931927487976323 0.12641509433962264 0.11222780569514237 1590.0
91 0.05 0.04 0.0028114186851211074 0.11368778280542986 0.10208227526663281 1768.0
92 0.05 0.05 0.0013748683113983364 0.04029671210906175 0.038735787242243205 4988.0
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98 0.05 0.11 0.002396863303726049 0.07158119658119658 0.06679960119641076 2808.0
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104 0.06 0.0 0.05775046336942737 1.0 0.5 201.0
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110 0.06 0.06 0.0014615635207832572 0.045127974854063765 0.04317937701396348 4454.0
111 0.06 0.07 0.0015184890707889626 0.04453800132949258 0.04263894781501909 4513.0
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136 0.07 0.15 0.2792736813035073 0.9436619718309859 0.4855072463768116 213.0
137 0.07 0.16 0.34813580604655653 0.9901477832512315 0.4975247524752475 203.0
138 0.08 0.0 0.05606770071212565 1.0 0.5 201.0
139 0.08 0.01 0.01483211310275183 0.8626609442060086 0.4631336405529954 233.0
140 0.08 0.02 0.005797925497088114 0.3532513181019332 0.261038961038961 569.0
141 0.08 0.03 0.003319169269100155 0.17493472584856398 0.14888888888888888 1149.0
142 0.08 0.04 0.002808916624934191 0.13163064833005894 0.11631944444444445 1527.0
143 0.08 0.05 0.00165144798076711 0.05652418447694038 0.05350013308490817 3556.0
144 0.08 0.06 0.0017112197954352584 0.05723234624145786 0.05413412335039052 3512.0
145 0.08 0.07 0.0019398613103778096 0.06128048780487805 0.057742028152829646 3280.0
146 0.08 0.08 0.0018325220531102884 0.05856643356643357 0.05532617671345995 3432.0
147 0.08 0.09 0.0018848161512917466 0.05899618432638685 0.055709534368070954 3407.0
148 0.08 0.1 0.001970846989822322 0.05894428152492669 0.05566325117695929 3410.0
149 0.08 0.11 0.0025750806651774634 0.07950949367088607 0.07365335287651155 2528.0
150 0.08 0.12 0.005378203261502621 0.12438118811881188 0.11062190423775455 1616.0
151 0.08 0.13 0.03075785869903517 0.319047619047619 0.24187725631768953 630.0
152 0.08 0.14 0.1325318448547302 0.7335766423357665 0.4231578947368421 274.0
153 0.08 0.15 0.23969498910675383 0.8933333333333333 0.47183098591549294 225.0
154 0.08 0.16 0.32230989956958395 0.9804878048780488 0.49507389162561577 205.0
155 0.09 0.0 0.056872500243878646 1.0 0.5 201.0
156 0.09 0.01 0.01737376366475794 0.8893805309734514 0.4707259953161593 226.0
157 0.09 0.02 0.006112321471798596 0.41358024691358025 0.2925764192139738 486.0
158 0.09 0.03 0.0045993706124425075 0.2255892255892256 0.18406593406593408 891.0
159 0.09 0.04 0.0031101642534948253 0.13480885311871227 0.11879432624113476 1491.0
160 0.09 0.05 0.0018455784444270384 0.06691078561917443 0.06271450858034322 3004.0
161 0.09 0.06 0.0017973384095042236 0.05807570066454782 0.05488803932277444 3461.0
162 0.09 0.07 0.0020340934833496943 0.06450577663671374 0.060596924932167624 3116.0
163 0.09 0.08 0.002061086443310949 0.06269494697442296 0.05899618432638685 3206.0
164 0.09 0.09 0.0019759957527276197 0.061149984788561 0.05762614678899083 3287.0
165 0.09 0.1 0.0021945010836250784 0.065729234793983 0.06167536054004296 3058.0
166 0.09 0.11 0.002276353579406446 0.07269439421338156 0.06776803776129467 2765.0
167 0.09 0.12 0.005130996573386636 0.12196601941747573 0.10870740941049216 1648.0
168 0.09 0.13 0.021333183845329746 0.2554002541296061 0.2034412955465587 787.0
169 0.09 0.14 0.09954751131221719 0.6442307692307693 0.391812865497076 312.0
170 0.09 0.15 0.20704845814977973 0.8854625550660793 0.4696261682242991 227.0
171 0.09 0.16 0.2990436370626682 0.9852941176470589 0.4962962962962963 204.0
172 0.1 0.0 0.05592137352453419 1.0 0.5 201.0
173 0.1 0.01 0.019119970262986712 0.95260663507109 0.4878640776699029 211.0
174 0.1 0.02 0.007494225760479631 0.5037593984962406 0.335 399.0
175 0.1 0.03 0.004553630237624766 0.2596899224806202 0.20615384615384616 774.0
176 0.1 0.04 0.0037903139397835635 0.1830601092896175 0.15473441108545036 1098.0
177 0.1 0.05 0.0021008403361344537 0.08157467532467533 0.07542213883677298 2464.0
178 0.1 0.06 0.002096802685037979 0.07243243243243243 0.06754032258064516 2775.0
179 0.1 0.07 0.0019579467097982466 0.07272069464544138 0.06779089376053962 2764.0
180 0.1 0.08 0.002007908701620669 0.07001044932079414 0.0654296875 2871.0
181 0.1 0.09 0.0019640742202921436 0.0674496644295302 0.06318767683118516 2980.0
182 0.1 0.1 0.0021510713990237447 0.07067510548523206 0.06600985221674877 2844.0
183 0.1 0.11 0.0026832240167993155 0.0885852798589687 0.08137651821862348 2269.0
184 0.1 0.12 0.004606849076766321 0.12737642585551331 0.11298482293423272 1578.0
185 0.1 0.13 0.014157671754912605 0.2182410423452769 0.17914438502673796 921.0
186 0.1 0.14 0.0617258558435029 0.46853146853146854 0.319047619047619 429.0
187 0.1 0.15 0.16778711484593836 0.8204081632653061 0.45067264573991034 245.0
188 0.1 0.16 0.27026305571733644 0.995049504950495 0.4987593052109181 202.0
189 0.11 0.0 0.05679933665008292 1.0 0.5 201.0
190 0.11 0.01 0.022388763197586727 0.9663461538461539 0.49144254278728605 208.0
191 0.11 0.02 0.00841116390846032 0.5598885793871866 0.35892857142857143 359.0
192 0.11 0.03 0.005085497537548561 0.31357254290171604 0.23871733966745842 641.0
193 0.11 0.04 0.0037728319820064934 0.18593894542090658 0.15678627145085802 1081.0
194 0.11 0.05 0.0024283412927640674 0.09771511910549344 0.08901682905225863 2057.0
195 0.11 0.06 0.00211312595213524 0.0719656283566058 0.06713426853707415 2793.0
196 0.11 0.07 0.0024124069023611144 0.0854955338153977 0.07876175548589341 2351.0
197 0.11 0.08 0.002348445411954001 0.08085277554304103 0.07480461481205805 2486.0
198 0.11 0.09 0.0020417657396877907 0.07065026362038665 0.0659881812212738 2845.0
199 0.11 0.1 0.0024362686250970975 0.08043217286914765 0.07444444444444444 2499.0
200 0.11 0.11 0.002608550678670473 0.08336789713811696 0.07695252679938744 2411.0
201 0.11 0.12 0.004479326642618188 0.122040072859745 0.10876623376623376 1647.0
202 0.11 0.13 0.009635717031910804 0.1642156862745098 0.14105263157894737 1224.0
203 0.11 0.14 0.041008621347371634 0.39105058365758755 0.2811188811188811 514.0
204 0.11 0.15 0.1403529411764706 0.804 0.44567627494456763 250.0
205 0.11 0.16 0.2442770211532889 0.9901477832512315 0.4975247524752475 203.0
206 0.12 0.0 0.05599453711832992 1.0 0.5 201.0
207 0.12 0.01 0.0230250754147813 0.9663461538461539 0.49144254278728605 208.0
208 0.12 0.02 0.010310457516339869 0.67 0.40119760479041916 300.0
209 0.12 0.03 0.005685263796240145 0.34536082474226804 0.2567049808429119 582.0
210 0.12 0.04 0.004113206665264437 0.2395709177592372 0.19326923076923078 839.0
211 0.12 0.05 0.0023475257742492516 0.10474205315268369 0.09481132075471699 1919.0
212 0.12 0.06 0.002049542581871216 0.07550713749060857 0.07020607754104087 2662.0
213 0.12 0.07 0.0020443335835775233 0.08275010292301359 0.07642585551330798 2429.0
214 0.12 0.08 0.002198280821129793 0.08424140821458508 0.0776961731735601 2386.0
215 0.12 0.09 0.0021588745995635822 0.07932123125493291 0.07349177330895795 2534.0
216 0.12 0.1 0.0021306098919504236 0.07985697258641239 0.0739514348785872 2517.0
217 0.12 0.11 0.0028067326663523823 0.08949243098842387 0.08214139762975071 2246.0
218 0.12 0.12 0.003948513866434523 0.1062367864693446 0.09603440038222646 1892.0
219 0.12 0.13 0.008028888219516044 0.14703730797366496 0.12818877551020408 1367.0
220 0.12 0.14 0.024610529143164115 0.27534246575342464 0.2158968850698174 730.0
221 0.12 0.15 0.10021986735870819 0.7389705882352942 0.4249471458773784 272.0
222 0.12 0.16 0.20245551924473493 0.9305555555555556 0.48201438848920863 216.0
223 0.13 0.0 0.055433616232562676 1.0 0.5 201.0
224 0.13 0.01 0.02453337104072398 0.9663461538461539 0.49144254278728605 208.0
225 0.13 0.02 0.0112373469243293 0.7256317689530686 0.4205020920502092 277.0
226 0.13 0.03 0.006045751633986928 0.41875 0.29515418502202645 480.0
227 0.13 0.04 0.004459823144944252 0.2627450980392157 0.2080745341614907 765.0
228 0.13 0.05 0.0025254330164629643 0.1221142162818955 0.10882512181916622 1646.0
229 0.13 0.06 0.00213346474674872 0.08214139762975071 0.07590634441087614 2447.0
230 0.13 0.07 0.0023624727668845316 0.09305555555555556 0.08513341804320203 2160.0
231 0.13 0.08 0.00216747545810118 0.08773461370580532 0.08065810593900481 2291.0
232 0.13 0.09 0.0022911338448422846 0.08739130434782609 0.08036785285885646 2300.0
233 0.13 0.1 0.0024454226134898406 0.09115646258503401 0.08354114713216958 2205.0
234 0.13 0.11 0.0029128672745694023 0.10182370820668693 0.09241379310344827 1974.0
235 0.13 0.12 0.0038016928930010583 0.11538461538461539 0.10344827586206896 1742.0
236 0.13 0.13 0.0063501128606782515 0.1393897364771151 0.12233718807060255 1442.0
237 0.13 0.14 0.015492095654192786 0.2163616792249731 0.17787610619469027 929.0
238 0.13 0.15 0.07338264647176236 0.6017964071856288 0.37570093457943926 334.0
239 0.13 0.16 0.1704391433992952 0.9262672811059908 0.48086124401913877 217.0
240 0.14 0.0 0.05614086430592137 1.0 0.5 201.0
241 0.14 0.01 0.026127926898914907 0.9757281553398058 0.49385749385749383 206.0
242 0.14 0.02 0.013760926057169855 0.8072289156626506 0.44666666666666666 249.0
243 0.14 0.03 0.006988378875577691 0.459954233409611 0.31504702194357365 437.0
244 0.14 0.04 0.004697986577181208 0.2697986577181208 0.2124735729386892 745.0
245 0.14 0.05 0.003210388413808989 0.14757709251101322 0.12859884836852206 1362.0
246 0.14 0.06 0.0022815271612485932 0.09082693176683236 0.08326429163214581 2213.0
247 0.14 0.07 0.002730796335447498 0.1062367864693446 0.09603440038222646 1892.0
248 0.14 0.08 0.002599640167108834 0.104199066874028 0.09436619718309859 1929.0
249 0.14 0.09 0.0026604976841520626 0.10166919575113809 0.09228650137741047 1977.0
250 0.14 0.1 0.0027447174891305384 0.0975254730713246 0.08885941644562334 2061.0
251 0.14 0.11 0.0030752384461091324 0.10490605427974947 0.0949456778460085 1916.0
252 0.14 0.12 0.004087690631808279 0.11166666666666666 0.10044977511244378 1800.0
253 0.14 0.13 0.0057935107674211995 0.12827058072750477 0.11368778280542986 1567.0
254 0.14 0.14 0.013657156957652374 0.19457889641819942 0.16288492706645058 1033.0
255 0.14 0.15 0.045210651828298885 0.4527027027027027 0.3116279069767442 444.0
256 0.14 0.16 0.13827985739750445 0.9136363636363637 0.47743467933491684 220.0
257 0.15 0.0 0.05548239196175983 1.0 0.5 201.0
258 0.15 0.01 0.0268762677484787 0.9901477832512315 0.4975247524752475 203.0
259 0.15 0.02 0.015495867768595042 0.8305785123966942 0.45372460496614 242.0
260 0.15 0.03 0.007664176781823841 0.5317460317460317 0.3471502590673575 378.0
261 0.15 0.04 0.0047050383998649675 0.2883787661406026 0.22383073496659242 697.0
262 0.15 0.05 0.00317553316147176 0.1601593625498008 0.13804945054945056 1255.0
263 0.15 0.06 0.0026152345755055947 0.10523560209424083 0.09521553765987684 1910.0
264 0.15 0.07 0.002546473134708429 0.10441558441558442 0.09454374412041393 1925.0
265 0.15 0.08 0.002556059937372591 0.10771704180064309 0.09724238026124818 1866.0
266 0.15 0.09 0.0027171007222918913 0.09965294992563213 0.09062218214607755 2017.0
267 0.15 0.1 0.0028332668487321896 0.10485133020344288 0.09490084985835694 1917.0
268 0.15 0.11 0.003317567708659609 0.10702875399361023 0.09668109668109669 1878.0
269 0.15 0.12 0.004692974368430758 0.12601880877742946 0.11191536748329621 1595.0
270 0.15 0.13 0.006154788237793524 0.12810707456978968 0.1135593220338983 1569.0
271 0.15 0.14 0.009643994168228748 0.15250379362670713 0.13232389730085584 1318.0
272 0.15 0.15 0.025075686840392724 0.29004329004329005 0.22483221476510068 693.0
273 0.15 0.16 0.10063904104151782 0.8137651821862348 0.4486607142857143 247.0
274 0.16 0.0 0.05479953175299971 1.0 0.5 201.0
275 0.16 0.01 0.029484207476093885 0.9901477832512315 0.4975247524752475 203.0
276 0.16 0.02 0.015307877536979705 0.881578947368421 0.46853146853146854 228.0
277 0.16 0.03 0.008077260755048289 0.6 0.375 335.0
278 0.16 0.04 0.005392989114151603 0.34125636672325976 0.25443037974683547 589.0
279 0.16 0.05 0.003494241562796122 0.18680297397769516 0.15740015661707127 1076.0
280 0.16 0.06 0.0026206403451368185 0.1242274412855377 0.11050027487630566 1618.0
281 0.16 0.07 0.003343513792430201 0.14295874822190613 0.12507778469197262 1406.0
282 0.16 0.08 0.0026494243810124586 0.10777479892761394 0.09728944820909971 1865.0
283 0.16 0.09 0.002799969933208771 0.11007667031763417 0.09916132215096202 1826.0
284 0.16 0.1 0.002798809292693975 0.11056105610561057 0.09955423476968796 1818.0
285 0.16 0.11 0.003268887208321003 0.11235326998323085 0.10100502512562815 1789.0
286 0.16 0.12 0.004284764753358971 0.12167070217917676 0.1084727468969239 1652.0
287 0.16 0.13 0.006557031414716424 0.14408602150537633 0.12593984962406016 1395.0
288 0.16 0.14 0.011277440096448486 0.17164816396242527 0.14650145772594753 1171.0
289 0.16 0.15 0.01943839264100702 0.24814814814814815 0.19881305637982197 810.0
290 0.16 0.16 0.07776132035548032 0.7230215827338129 0.4196242171189979 278.0

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@@ -0,0 +1,9 @@
{
"duration": 653.2876274189912,
"name": "2d_BER_FER_DFR_20433484_abs_gamma_omega",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"SNR": 4,
"K": 200,
"min_var_k": 100,
"end_time": "2023-09-07 07:44:49.030452"
}

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@@ -0,0 +1,9 @@
{
"duration": 216.29605930601247,
"name": "2d_BER_FER_DFR_20433484_abs",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"omega": 0.05,
"K": 200,
"min_var_k": 100,
"end_time": "2023-09-06 23:43:10.389362"
}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.0970393132377329,1.0,0.5,201.0
1.0,0.05,0.09710993402100176,0.95260663507109,0.4878640776699029,211.0
1.0,0.15,0.3632572431957858,1.0,0.5,201.0
1.5,0.01,0.07527664531158998,0.995049504950495,0.4987593052109181,202.0
1.5,0.05,0.0700729009552539,0.8589743589743589,0.46206896551724136,234.0
1.5,0.15,0.36747634377133936,1.0,0.5,201.0
2.0,0.01,0.05661284121491734,0.9852941176470589,0.4962962962962963,204.0
2.0,0.05,0.046034330687292215,0.6955017301038062,0.41020408163265304,289.0
2.0,0.15,0.35511169641986146,1.0,0.5,201.0
2.5,0.01,0.038249102457884564,0.9436619718309859,0.4855072463768116,213.0
2.5,0.05,0.02484294688749286,0.4878640776699029,0.3278955954323002,412.0
2.5,0.15,0.356404253243586,1.0,0.5,201.0
3.0,0.01,0.025636211931581145,0.8553191489361702,0.4610091743119266,235.0
3.0,0.05,0.011643002028397565,0.2772413793103448,0.21706263498920086,725.0
3.0,0.15,0.3484517569403999,0.995049504950495,0.4987593052109181,202.0
3.5,0.01,0.014143064633260712,0.7444444444444445,0.4267515923566879,270.0
3.5,0.05,0.004181943780222116,0.10894308943089431,0.09824046920821114,1845.0
3.5,0.15,0.3463414634146341,0.9804878048780488,0.49507389162561577,205.0
4.0,0.01,0.007683125063496901,0.5207253886010362,0.3424190800681431,386.0
4.0,0.05,0.0014477238148964905,0.04380993897122929,0.041971183963249115,4588.0
4.0,0.15,0.34226105901297715,0.9710144927536232,0.49264705882352944,207.0
4.5,0.01,0.00361314738661422,0.30547112462006076,0.2339930151338766,658.0
4.5,0.05,0.00043196681143011645,0.014435507038207411,0.014230088495575222,13924.0
4.5,0.15,0.32752778530767146,0.9262672811059908,0.48086124401913877,217.0
5.0,0.01,0.0016771000396640626,0.17678100263852242,0.15022421524663676,1137.0
5.0,0.05,0.00011993731496343305,0.004228641154566302,0.004210835044203293,47533.0
5.0,0.15,0.32148877650607754,0.9095022624434389,0.476303317535545,221.0
5.5,0.01,0.0006850631177055398,0.08564124414145718,0.07888540031397175,2347.0
5.5,0.05,2.2107843137254902e-05,0.00087,0.0008692437579306003,100000.0
5.5,0.15,0.3033769063180828,0.8589743589743589,0.46206896551724136,234.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.0970393132377329 1.0 0.5 201.0
3 1.0 0.05 0.09710993402100176 0.95260663507109 0.4878640776699029 211.0
4 1.0 0.15 0.3632572431957858 1.0 0.5 201.0
5 1.5 0.01 0.07527664531158998 0.995049504950495 0.4987593052109181 202.0
6 1.5 0.05 0.0700729009552539 0.8589743589743589 0.46206896551724136 234.0
7 1.5 0.15 0.36747634377133936 1.0 0.5 201.0
8 2.0 0.01 0.05661284121491734 0.9852941176470589 0.4962962962962963 204.0
9 2.0 0.05 0.046034330687292215 0.6955017301038062 0.41020408163265304 289.0
10 2.0 0.15 0.35511169641986146 1.0 0.5 201.0
11 2.5 0.01 0.038249102457884564 0.9436619718309859 0.4855072463768116 213.0
12 2.5 0.05 0.02484294688749286 0.4878640776699029 0.3278955954323002 412.0
13 2.5 0.15 0.356404253243586 1.0 0.5 201.0
14 3.0 0.01 0.025636211931581145 0.8553191489361702 0.4610091743119266 235.0
15 3.0 0.05 0.011643002028397565 0.2772413793103448 0.21706263498920086 725.0
16 3.0 0.15 0.3484517569403999 0.995049504950495 0.4987593052109181 202.0
17 3.5 0.01 0.014143064633260712 0.7444444444444445 0.4267515923566879 270.0
18 3.5 0.05 0.004181943780222116 0.10894308943089431 0.09824046920821114 1845.0
19 3.5 0.15 0.3463414634146341 0.9804878048780488 0.49507389162561577 205.0
20 4.0 0.01 0.007683125063496901 0.5207253886010362 0.3424190800681431 386.0
21 4.0 0.05 0.0014477238148964905 0.04380993897122929 0.041971183963249115 4588.0
22 4.0 0.15 0.34226105901297715 0.9710144927536232 0.49264705882352944 207.0
23 4.5 0.01 0.00361314738661422 0.30547112462006076 0.2339930151338766 658.0
24 4.5 0.05 0.00043196681143011645 0.014435507038207411 0.014230088495575222 13924.0
25 4.5 0.15 0.32752778530767146 0.9262672811059908 0.48086124401913877 217.0
26 5.0 0.01 0.0016771000396640626 0.17678100263852242 0.15022421524663676 1137.0
27 5.0 0.05 0.00011993731496343305 0.004228641154566302 0.004210835044203293 47533.0
28 5.0 0.15 0.32148877650607754 0.9095022624434389 0.476303317535545 221.0
29 5.5 0.01 0.0006850631177055398 0.08564124414145718 0.07888540031397175 2347.0
30 5.5 0.05 2.2107843137254902e-05 0.00087 0.0008692437579306003 100000.0
31 5.5 0.15 0.3033769063180828 0.8589743589743589 0.46206896551724136 234.0

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@@ -0,0 +1,9 @@
{
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"end_time": "2023-09-07 08:28:16.966220"
}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09869768803043605,1.0,0.5,201.0
1.0,0.05,0.09947960226744726,0.95260663507109,0.4878640776699029,211.0
1.0,0.15,0.36759828309433223,1.0,0.5,201.0
1.5,0.01,0.07779728806945664,1.0,0.5,201.0
1.5,0.05,0.0743722828497915,0.9095022624434389,0.476303317535545,221.0
1.5,0.15,0.3584040581406692,1.0,0.5,201.0
2.0,0.01,0.05791487326637972,0.9804878048780488,0.49507389162561577,205.0
2.0,0.05,0.04992111787243633,0.7701149425287356,0.43506493506493504,261.0
2.0,0.15,0.3592088576724222,1.0,0.5,201.0
2.5,0.01,0.03935376967688484,0.9436619718309859,0.4855072463768116,213.0
2.5,0.05,0.02794525012220955,0.556786703601108,0.35765124555160144,361.0
2.5,0.15,0.3599161057457809,1.0,0.5,201.0
3.0,0.01,0.02624989389695272,0.8701298701298701,0.4652777777777778,231.0
3.0,0.05,0.014244938481721803,0.36347197106690776,0.26657824933687,553.0
3.0,0.15,0.34626105344098423,0.9852941176470589,0.4962962962962963,204.0
3.5,0.01,0.013662911973299958,0.7127659574468085,0.4161490683229814,282.0
3.5,0.05,0.005827886710239652,0.18611111111111112,0.15690866510538642,1080.0
3.5,0.15,0.34155906264945,0.9804878048780488,0.49507389162561577,205.0
4.0,0.01,0.0074477304734048315,0.5552486187845304,0.35701598579040855,362.0
4.0,0.05,0.0021517107615843865,0.0776661514683153,0.0720688418788096,2588.0
4.0,0.15,0.33294392523364486,0.9392523364485982,0.4843373493975904,214.0
4.5,0.01,0.004209729868959078,0.33004926108374383,0.24814814814814815,609.0
4.5,0.05,0.000697420319728471,0.02647872480569095,0.025795687885010268,7591.0
4.5,0.15,0.3132638705706498,0.9013452914798207,0.4740566037735849,223.0
5.0,0.01,0.0017786710449338543,0.19345524542829645,0.1620967741935484,1039.0
5.0,0.05,0.00021706014295982381,0.009458378429250389,0.009369755733731121,21251.0
5.0,0.15,0.3079956427015251,0.8933333333333333,0.47183098591549294,225.0
5.5,0.01,0.0007074994946432181,0.09009412819363515,0.08264802631578948,2231.0
5.5,0.05,5.5529456289463546e-05,0.0025933141522701177,0.002586606269624749,77507.0
5.5,0.15,0.2994159365874009,0.8553191489361702,0.4610091743119266,235.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09869768803043605 1.0 0.5 201.0
3 1.0 0.05 0.09947960226744726 0.95260663507109 0.4878640776699029 211.0
4 1.0 0.15 0.36759828309433223 1.0 0.5 201.0
5 1.5 0.01 0.07779728806945664 1.0 0.5 201.0
6 1.5 0.05 0.0743722828497915 0.9095022624434389 0.476303317535545 221.0
7 1.5 0.15 0.3584040581406692 1.0 0.5 201.0
8 2.0 0.01 0.05791487326637972 0.9804878048780488 0.49507389162561577 205.0
9 2.0 0.05 0.04992111787243633 0.7701149425287356 0.43506493506493504 261.0
10 2.0 0.15 0.3592088576724222 1.0 0.5 201.0
11 2.5 0.01 0.03935376967688484 0.9436619718309859 0.4855072463768116 213.0
12 2.5 0.05 0.02794525012220955 0.556786703601108 0.35765124555160144 361.0
13 2.5 0.15 0.3599161057457809 1.0 0.5 201.0
14 3.0 0.01 0.02624989389695272 0.8701298701298701 0.4652777777777778 231.0
15 3.0 0.05 0.014244938481721803 0.36347197106690776 0.26657824933687 553.0
16 3.0 0.15 0.34626105344098423 0.9852941176470589 0.4962962962962963 204.0
17 3.5 0.01 0.013662911973299958 0.7127659574468085 0.4161490683229814 282.0
18 3.5 0.05 0.005827886710239652 0.18611111111111112 0.15690866510538642 1080.0
19 3.5 0.15 0.34155906264945 0.9804878048780488 0.49507389162561577 205.0
20 4.0 0.01 0.0074477304734048315 0.5552486187845304 0.35701598579040855 362.0
21 4.0 0.05 0.0021517107615843865 0.0776661514683153 0.0720688418788096 2588.0
22 4.0 0.15 0.33294392523364486 0.9392523364485982 0.4843373493975904 214.0
23 4.5 0.01 0.004209729868959078 0.33004926108374383 0.24814814814814815 609.0
24 4.5 0.05 0.000697420319728471 0.02647872480569095 0.025795687885010268 7591.0
25 4.5 0.15 0.3132638705706498 0.9013452914798207 0.4740566037735849 223.0
26 5.0 0.01 0.0017786710449338543 0.19345524542829645 0.1620967741935484 1039.0
27 5.0 0.05 0.00021706014295982381 0.009458378429250389 0.009369755733731121 21251.0
28 5.0 0.15 0.3079956427015251 0.8933333333333333 0.47183098591549294 225.0
29 5.5 0.01 0.0007074994946432181 0.09009412819363515 0.08264802631578948 2231.0
30 5.5 0.05 5.5529456289463546e-05 0.0025933141522701177 0.002586606269624749 77507.0
31 5.5 0.15 0.2994159365874009 0.8553191489361702 0.4610091743119266 235.0

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@@ -0,0 +1,9 @@
{
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"end_time": "2023-09-07 08:31:55.628279"
}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09725880401912008,1.0,0.5,201.0
1.0,0.05,0.09783012731158815,0.95260663507109,0.4878640776699029,211.0
1.0,0.15,0.36923227002243686,1.0,0.5,201.0
1.5,0.01,0.07735830650668228,1.0,0.5,201.0
1.5,0.05,0.07331441348469213,0.881578947368421,0.46853146853146854,228.0
1.5,0.15,0.3573066042337333,1.0,0.5,201.0
2.0,0.01,0.05617841195884294,0.995049504950495,0.4987593052109181,202.0
2.0,0.05,0.04887436456063907,0.7444444444444445,0.4267515923566879,270.0
2.0,0.15,0.3558677202224173,1.0,0.5,201.0
2.5,0.01,0.03984593837535014,0.9571428571428572,0.48905109489051096,210.0
2.5,0.05,0.028831091665316264,0.5537190082644629,0.35638297872340424,363.0
2.5,0.15,0.3573066042337333,1.0,0.5,201.0
3.0,0.01,0.026772247360482653,0.8589743589743589,0.46206896551724136,234.0
3.0,0.05,0.014464938517779993,0.34067796610169493,0.25410872313527183,590.0
3.0,0.15,0.34883608615860134,0.9901477832512315,0.4975247524752475,203.0
3.5,0.01,0.016608135791630084,0.75,0.42857142857142855,268.0
3.5,0.05,0.005698994003667179,0.16933445661331087,0.14481268011527376,1187.0
3.5,0.15,0.35270205643232905,0.9804878048780488,0.49507389162561577,205.0
4.0,0.01,0.008850762527233115,0.5583333333333333,0.3582887700534759,360.0
4.0,0.05,0.0019291779972329564,0.06113138686131387,0.05760963026655202,3288.0
4.0,0.15,0.33506895581198987,0.9617224880382775,0.4902439024390244,209.0
4.5,0.01,0.0038526848647955914,0.3284313725490196,0.24723247232472326,612.0
4.5,0.05,0.0005511608081048395,0.02032355915065723,0.01991873947081558,9890.0
4.5,0.15,0.3202990873768862,0.9262672811059908,0.48086124401913877,217.0
5.0,0.01,0.0015766540534342393,0.16791979949874686,0.14377682403433475,1197.0
5.0,0.05,0.00015397523244535568,0.006018684872439813,0.005982677024734351,33396.0
5.0,0.15,0.31998048088013487,0.9095022624434389,0.476303317535545,221.0
5.5,0.01,0.0007359571420994006,0.09062218214607755,0.08309218685407194,2218.0
5.5,0.05,3.514705882352941e-05,0.00153,0.0015276626761055584,100000.0
5.5,0.15,0.29682287852900496,0.8340248962655602,0.45475113122171945,241.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09725880401912008 1.0 0.5 201.0
3 1.0 0.05 0.09783012731158815 0.95260663507109 0.4878640776699029 211.0
4 1.0 0.15 0.36923227002243686 1.0 0.5 201.0
5 1.5 0.01 0.07735830650668228 1.0 0.5 201.0
6 1.5 0.05 0.07331441348469213 0.881578947368421 0.46853146853146854 228.0
7 1.5 0.15 0.3573066042337333 1.0 0.5 201.0
8 2.0 0.01 0.05617841195884294 0.995049504950495 0.4987593052109181 202.0
9 2.0 0.05 0.04887436456063907 0.7444444444444445 0.4267515923566879 270.0
10 2.0 0.15 0.3558677202224173 1.0 0.5 201.0
11 2.5 0.01 0.03984593837535014 0.9571428571428572 0.48905109489051096 210.0
12 2.5 0.05 0.028831091665316264 0.5537190082644629 0.35638297872340424 363.0
13 2.5 0.15 0.3573066042337333 1.0 0.5 201.0
14 3.0 0.01 0.026772247360482653 0.8589743589743589 0.46206896551724136 234.0
15 3.0 0.05 0.014464938517779993 0.34067796610169493 0.25410872313527183 590.0
16 3.0 0.15 0.34883608615860134 0.9901477832512315 0.4975247524752475 203.0
17 3.5 0.01 0.016608135791630084 0.75 0.42857142857142855 268.0
18 3.5 0.05 0.005698994003667179 0.16933445661331087 0.14481268011527376 1187.0
19 3.5 0.15 0.35270205643232905 0.9804878048780488 0.49507389162561577 205.0
20 4.0 0.01 0.008850762527233115 0.5583333333333333 0.3582887700534759 360.0
21 4.0 0.05 0.0019291779972329564 0.06113138686131387 0.05760963026655202 3288.0
22 4.0 0.15 0.33506895581198987 0.9617224880382775 0.4902439024390244 209.0
23 4.5 0.01 0.0038526848647955914 0.3284313725490196 0.24723247232472326 612.0
24 4.5 0.05 0.0005511608081048395 0.02032355915065723 0.01991873947081558 9890.0
25 4.5 0.15 0.3202990873768862 0.9262672811059908 0.48086124401913877 217.0
26 5.0 0.01 0.0015766540534342393 0.16791979949874686 0.14377682403433475 1197.0
27 5.0 0.05 0.00015397523244535568 0.006018684872439813 0.005982677024734351 33396.0
28 5.0 0.15 0.31998048088013487 0.9095022624434389 0.476303317535545 221.0
29 5.5 0.01 0.0007359571420994006 0.09062218214607755 0.08309218685407194 2218.0
30 5.5 0.05 3.514705882352941e-05 0.00153 0.0015276626761055584 100000.0
31 5.5 0.15 0.29682287852900496 0.8340248962655602 0.45475113122171945 241.0

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@@ -0,0 +1,9 @@
{
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}

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@@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09347868500634085,1.0,0.5,201.0
1.0,0.05,0.09496392896781354,0.9481132075471698,0.48668280871670705,212.0
1.0,0.15,0.36932982148083116,1.0,0.5,201.0
1.5,0.01,0.07406594478587455,1.0,0.5,201.0
1.5,0.05,0.07199360430867625,0.8626609442060086,0.4631336405529954,233.0
1.5,0.15,0.36294020095600427,1.0,0.5,201.0
2.0,0.01,0.057755775577557754,0.995049504950495,0.4987593052109181,202.0
2.0,0.05,0.048460928489042675,0.7389705882352942,0.4249471458773784,272.0
2.0,0.15,0.3604038630377524,1.0,0.5,201.0
2.5,0.01,0.04213800904977376,0.9663461538461539,0.49144254278728605,208.0
2.5,0.05,0.028456297773346628,0.5677966101694916,0.3621621621621622,354.0
2.5,0.15,0.3550420168067227,0.9901477832512315,0.4975247524752475,203.0
3.0,0.01,0.024770085025160506,0.8893805309734514,0.4707259953161593,226.0
3.0,0.05,0.01283289435177056,0.3,0.23076923076923078,670.0
3.0,0.15,0.35180062123859446,0.995049504950495,0.4987593052109181,202.0
3.5,0.01,0.014915966386554623,0.7178571428571429,0.4178794178794179,280.0
3.5,0.05,0.005176988287064001,0.13267326732673268,0.11713286713286714,1515.0
3.5,0.15,0.35390708007340865,0.9901477832512315,0.4975247524752475,203.0
4.0,0.01,0.008092738407699038,0.5275590551181102,0.34536082474226804,381.0
4.0,0.05,0.0018570332720760695,0.05657191106107515,0.05354288758657432,3553.0
4.0,0.15,0.34144774414620216,0.9757281553398058,0.49385749385749383,206.0
4.5,0.01,0.004560172692930384,0.3688073394495413,0.26943699731903487,545.0
4.5,0.05,0.0005154233751194427,0.017154561747887685,0.01686524584661856,11717.0
4.5,0.15,0.32355189782334953,0.9220183486238532,0.4797136038186158,218.0
5.0,0.01,0.0017245125196893162,0.18559556786703602,0.15654205607476634,1083.0
5.0,0.05,0.00011031308411598211,0.004203789685029489,0.004186191815057794,47814.0
5.0,0.15,0.311843487394958,0.8973214285714286,0.47294117647058825,224.0
5.5,0.01,0.0007751166230515417,0.09719535783365571,0.0885852798589687,2068.0
5.5,0.05,2.6127450980392156e-05,0.00105,0.0010488986564107688,100000.0
5.5,0.15,0.30472447599729546,0.8663793103448276,0.46420323325635104,232.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09347868500634085 1.0 0.5 201.0
3 1.0 0.05 0.09496392896781354 0.9481132075471698 0.48668280871670705 212.0
4 1.0 0.15 0.36932982148083116 1.0 0.5 201.0
5 1.5 0.01 0.07406594478587455 1.0 0.5 201.0
6 1.5 0.05 0.07199360430867625 0.8626609442060086 0.4631336405529954 233.0
7 1.5 0.15 0.36294020095600427 1.0 0.5 201.0
8 2.0 0.01 0.057755775577557754 0.995049504950495 0.4987593052109181 202.0
9 2.0 0.05 0.048460928489042675 0.7389705882352942 0.4249471458773784 272.0
10 2.0 0.15 0.3604038630377524 1.0 0.5 201.0
11 2.5 0.01 0.04213800904977376 0.9663461538461539 0.49144254278728605 208.0
12 2.5 0.05 0.028456297773346628 0.5677966101694916 0.3621621621621622 354.0
13 2.5 0.15 0.3550420168067227 0.9901477832512315 0.4975247524752475 203.0
14 3.0 0.01 0.024770085025160506 0.8893805309734514 0.4707259953161593 226.0
15 3.0 0.05 0.01283289435177056 0.3 0.23076923076923078 670.0
16 3.0 0.15 0.35180062123859446 0.995049504950495 0.4987593052109181 202.0
17 3.5 0.01 0.014915966386554623 0.7178571428571429 0.4178794178794179 280.0
18 3.5 0.05 0.005176988287064001 0.13267326732673268 0.11713286713286714 1515.0
19 3.5 0.15 0.35390708007340865 0.9901477832512315 0.4975247524752475 203.0
20 4.0 0.01 0.008092738407699038 0.5275590551181102 0.34536082474226804 381.0
21 4.0 0.05 0.0018570332720760695 0.05657191106107515 0.05354288758657432 3553.0
22 4.0 0.15 0.34144774414620216 0.9757281553398058 0.49385749385749383 206.0
23 4.5 0.01 0.004560172692930384 0.3688073394495413 0.26943699731903487 545.0
24 4.5 0.05 0.0005154233751194427 0.017154561747887685 0.01686524584661856 11717.0
25 4.5 0.15 0.32355189782334953 0.9220183486238532 0.4797136038186158 218.0
26 5.0 0.01 0.0017245125196893162 0.18559556786703602 0.15654205607476634 1083.0
27 5.0 0.05 0.00011031308411598211 0.004203789685029489 0.004186191815057794 47814.0
28 5.0 0.15 0.311843487394958 0.8973214285714286 0.47294117647058825 224.0
29 5.5 0.01 0.0007751166230515417 0.09719535783365571 0.0885852798589687 2068.0
30 5.5 0.05 2.6127450980392156e-05 0.00105 0.0010488986564107688 100000.0
31 5.5 0.15 0.30472447599729546 0.8663793103448276 0.46420323325635104 232.0

View File

@@ -0,0 +1,9 @@
{
"duration": 65.0439023799845,
"name": "2d_BER_FER_DFR_20433484_abs_N_8",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"omega": 0.05,
"K": 200,
"min_var_k": 100,
"end_time": "2023-09-07 08:29:34.275238"
}

View File

@@ -0,0 +1,290 @@
omega,gamma,BER,FER,DFR,num_iterations
0.0,0.0,1.0,1.0,,201.0
0.0,0.01,1.0,1.0,,201.0
0.0,0.02,1.0,1.0,,201.0
0.0,0.03,1.0,1.0,,201.0
0.0,0.04,1.0,1.0,,201.0
0.0,0.05,1.0,1.0,,201.0
0.0,0.06,1.0,1.0,,201.0
0.0,0.07,1.0,1.0,,201.0
0.0,0.08,1.0,1.0,,201.0
0.0,0.09,1.0,1.0,,201.0
0.0,0.1,1.0,1.0,,201.0
0.0,0.11,1.0,1.0,,201.0
0.0,0.12,1.0,1.0,,201.0
0.0,0.13,1.0,1.0,,201.0
0.0,0.14,1.0,1.0,,201.0
0.0,0.15,1.0,1.0,,201.0
0.0,0.16,1.0,1.0,,201.0
0.01,0.0,1.0273566664494125,1.0,1.0,201.0
0.01,0.01,0.9354018007365151,0.986747542453888,0.9893088347296264,839.0
0.01,0.02,0.8826618754750907,0.961150022817913,0.9657488717069592,1497.0
0.01,0.03,0.8479709356367034,0.8961333411447653,0.9071736364540742,1690.0
0.01,0.04,0.892124167717234,0.9364446054028834,0.9434868514414841,1613.0
0.01,0.05,0.574048138239686,0.43232785713050004,0.4637177060209455,3434.0
0.01,0.06,0.5691211908451462,0.4337319725457889,0.4655430048315059,3377.0
0.01,0.07,0.5822616838943262,0.44288889530352443,0.4769458697694582,3087.0
0.01,0.08,0.5741199355892842,0.452113097215762,0.48673279776893097,2980.0
0.01,0.09,0.8117888347048479,0.5946237110757709,0.6209417453373244,2895.0
0.01,0.1,0.843037287881919,0.6356148889225206,0.6628725767999204,2486.0
0.01,0.11,0.7808024576812895,0.7495830340131802,0.7777654585167364,1585.0
0.01,0.12,1.145978920204461,1.0659610788665073,1.0451148888473754,435.0
0.01,0.13,1.0100564235668466,1.0030740977323538,1.00169794262277,248.0
0.01,0.14,0.9832516656754499,0.9766226622662267,0.9878908754184771,216.0
0.01,0.15,0.9841452289728151,0.9999512266497587,0.9999754925987648,203.0
0.01,0.16,1.001969516389739,1.0,1.0,201.0
0.02,0.0,0.9839127714719803,1.0,1.0,201.0
0.02,0.01,1.1584210526315668,1.1303762376237627,1.1028203766748919,750.0
0.02,0.02,0.9275894129877886,0.9742213249008894,0.9773018919014377,1481.0
0.02,0.03,1.0443283004258472,1.051678338565564,1.04627670255325,1722.0
0.02,0.04,1.1122894201203901,1.0951103490237297,1.0855085508550855,1790.0
0.02,0.05,0.569445061646084,0.4370898628324368,0.46494435263319506,3861.0
0.02,0.06,0.7104981762618872,0.4801445211120761,0.5051423563408965,3979.0
0.02,0.07,0.7486902062479196,0.5270834135051488,0.5520784789496568,3602.0
0.02,0.08,0.7363504420108002,0.503734785670149,0.5310933452094521,3445.0
0.02,0.09,0.5899957808086856,0.44848170495908835,0.4808292909827891,3226.0
0.02,0.1,0.779839877853033,0.5595853313554351,0.5884109088212631,2870.0
0.02,0.11,0.7347908232118741,0.660712871287129,0.6916972933095218,2000.0
0.02,0.12,1.1088718357787066,0.9720732286372511,0.9794204551345188,563.0
0.02,0.13,0.9802914794696388,0.9872144694784439,0.9928625829615928,254.0
0.02,0.14,1.0197054935595933,1.0140028288543141,1.0071547300715473,210.0
0.02,0.15,1.0200864842173798,1.0093325121985885,1.0047573049987926,209.0
0.02,0.16,1.0099970287023243,1.0198019801980196,1.00990099009901,201.0
0.03,0.0,0.9285185140206211,1.0,1.0,201.0
0.03,0.01,1.0187026029924193,0.9777141477213925,0.9834940913446185,574.0
0.03,0.02,1.019564534595084,1.0681583239530452,1.0589884289633777,1293.0
0.03,0.03,1.0201658231686066,1.0836076809164235,1.0743690091933877,1618.0
0.03,0.04,1.0473168080017625,1.1097755323477552,1.0984775896944534,1752.0
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0.04,0.04,1.0144147782158968,0.9740445325828605,0.9763756536511554,2037.0
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0.04,0.07,0.5430952158797092,0.3791072291490598,0.40482846718307375,4651.0
0.04,0.08,0.5834193857243851,0.4009257188552531,0.42719402830335385,4383.0
0.04,0.09,0.6172302492138324,0.47941903365118654,0.5049215377301803,3902.0
0.04,0.1,0.6037624101299459,0.476639584602508,0.5052330729131621,3478.0
0.04,0.11,0.7511164940176166,0.6463697613167493,0.6712663210278991,2654.0
0.04,0.12,0.9961692542711036,0.9420723322332234,0.9530051596708963,864.0
0.04,0.13,0.9943559906351493,1.0173030082560972,1.0105366567785183,313.0
0.04,0.14,0.9872830622241039,1.0123547137322426,1.0065930026877397,230.0
0.04,0.15,0.9976994647194591,1.0049014802470346,1.0024568213645186,202.0
0.04,0.16,0.9709367315001117,0.9852941176470588,0.9925925925925926,204.0
0.05,0.0,1.048339264531435,1.0,1.0,201.0
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0.05,0.11,0.8106200755066623,0.6215515782347463,0.6468317818820758,2808.0
0.05,0.12,0.9921673355202902,0.944363337138003,0.9528352835283529,1119.0
0.05,0.13,1.0313378955805812,1.0452448805711434,1.028341124075233,337.0
0.05,0.14,1.0634692254053684,1.0212350182386658,1.0112857439590113,228.0
0.05,0.15,0.9751037534800273,0.9902885025344642,0.995049504950495,209.0
0.05,0.16,0.9660176927234773,0.9852941176470588,0.9925925925925926,204.0
0.06,0.0,1.0058246384308382,1.0,1.0,201.0
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0.06,0.03,0.836121343445277,0.9221726397991912,0.9318230404163177,1420.0
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0.06,0.05,0.4323373691978365,0.34968251717243565,0.3750244741418691,4957.0
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0.11,0.16,0.9999835247211563,0.9999512266497587,0.9999754925987648,203.0
0.12,0.0,1.0006170362411708,1.0,1.0,201.0
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0.12,0.03,0.9489222118088035,1.0155659895886493,1.0115701225294944,582.0
0.12,0.04,0.7917922830634114,0.9132158746267953,0.9299885757806549,839.0
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0.12,0.15,1.0314520402755696,1.0243156668608038,1.0139827936282,272.0
0.12,0.16,0.9575176026103382,0.9674092409240923,0.9831184557304651,216.0
0.13,0.0,1.0143465620388286,1.0,1.0,201.0
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0.13,0.1,0.8258186995728614,0.7066882198423928,0.7311918224241374,2205.0
0.13,0.11,0.8754003190907229,0.7752716001083393,0.7960396039603954,1974.0
0.13,0.12,0.9125428820888513,0.8979436405178975,0.9085011949470806,1742.0
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0.13,0.15,1.1171686477790683,1.0725084484496354,1.0452669566022021,334.0
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0.14,0.0,0.9861264860692269,1.0,1.0,201.0
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0.16,0.0,0.9393423895497561,1.0,1.0,201.0
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0.16,0.16,1.0342535324258582,1.0380012821426028,1.0220550238739947,278.0
1 omega gamma BER FER DFR num_iterations
2 0.0 0.0 1.0 1.0 201.0
3 0.0 0.01 1.0 1.0 201.0
4 0.0 0.02 1.0 1.0 201.0
5 0.0 0.03 1.0 1.0 201.0
6 0.0 0.04 1.0 1.0 201.0
7 0.0 0.05 1.0 1.0 201.0
8 0.0 0.06 1.0 1.0 201.0
9 0.0 0.07 1.0 1.0 201.0
10 0.0 0.08 1.0 1.0 201.0
11 0.0 0.09 1.0 1.0 201.0
12 0.0 0.1 1.0 1.0 201.0
13 0.0 0.11 1.0 1.0 201.0
14 0.0 0.12 1.0 1.0 201.0
15 0.0 0.13 1.0 1.0 201.0
16 0.0 0.14 1.0 1.0 201.0
17 0.0 0.15 1.0 1.0 201.0
18 0.0 0.16 1.0 1.0 201.0
19 0.01 0.0 1.0273566664494125 1.0 1.0 201.0
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View File

@@ -0,0 +1,43 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09638905066977287,1.0,0.5,101.0
1.0,0.05,0.09711706464764124,1.0,0.5,101.0
1.0,0.15,0.3658512910114541,1.0,0.5,101.0
1.5,0.01,0.07585905649388468,1.0,0.5,101.0
1.5,0.05,0.06955484896661367,0.9099099099099099,0.47641509433962265,111.0
1.5,0.15,0.3531838477965444,1.0,0.5,101.0
2.0,0.01,0.05872834570721493,0.9805825242718447,0.4950980392156863,103.0
2.0,0.05,0.04893652376204719,0.8559322033898306,0.4611872146118721,118.0
2.0,0.15,0.358716754028344,1.0,0.5,101.0
2.5,0.01,0.041439724037763255,0.9351851851851852,0.48325358851674644,108.0
2.5,0.05,0.030349794238683128,0.6234567901234568,0.3840304182509506,162.0
2.5,0.15,0.35638710929916523,1.0,0.5,101.0
3.0,0.01,0.027046783625730993,0.8859649122807017,0.4697674418604651,114.0
3.0,0.05,0.015354075514503322,0.41735537190082644,0.2944606413994169,242.0
3.0,0.15,0.34986543637062667,0.9901960784313726,0.4975369458128079,102.0
3.5,0.01,0.014913007456503728,0.7112676056338029,0.4156378600823045,142.0
3.5,0.05,0.006678653994348831,0.2205240174672489,0.1806797853309481,458.0
3.5,0.15,0.3420531674208145,0.9711538461538461,0.4926829268292683,104.0
4.0,0.01,0.006992502883506344,0.4950980392156863,0.33114754098360655,204.0
4.0,0.05,0.0027284988069301796,0.10687830687830688,0.0965583173996176,945.0
4.0,0.15,0.35202806612841214,0.9901960784313726,0.4975369458128079,102.0
4.5,0.01,0.0037136066547831252,0.30606060606060603,0.23433874709976799,330.0
4.5,0.05,0.0008234519104084321,0.03992094861660079,0.03838844545800076,2530.0
4.5,0.15,0.32549935862195345,0.9439252336448598,0.4855769230769231,107.0
5.0,0.01,0.0017301038062283738,0.18566176470588236,0.15658914728682172,544.0
5.0,0.05,0.00023348461190479664,0.012527908707516746,0.012372902119318878,8062.0
5.0,0.15,0.31611022787493376,0.9099099099099099,0.47641509433962265,111.0
5.5,0.01,0.0007075471698113207,0.09528301886792453,0.08699397071490095,1060.0
5.5,0.05,9.101033815739543e-05,0.005297110190381287,0.005269198664440734,19067.0
5.5,0.15,0.2721342383107089,0.7769230769230769,0.43722943722943725,130.0
6.0,0.01,0.00027844965879526883,0.04281475201356507,0.04105691056910569,2359.0
6.0,0.05,2.693972096249136e-05,0.0015724249595217338,0.0015699563210172073,64232.0
6.0,0.15,0.2747697563874034,0.7651515151515151,0.4334763948497854,132.0
6.5,0.01,9.759351302834977e-05,0.01583320269634739,0.01558641975308642,6379.0
6.5,0.05,8.235294117647058e-06,0.00051,0.0005097400325833825,100000.0
6.5,0.15,0.2537604082728982,0.6917808219178082,0.4089068825910931,146.0
7.0,0.01,2.845840803665443e-05,0.0050548020619588605,0.005029379543870133,19981.0
7.0,0.05,1.8627450980392156e-06,0.00012,0.00011998560172779267,100000.0
7.0,0.15,0.16912844432927357,0.44493392070484583,0.3079268292682927,227.0
7.5,0.01,8.318797329578491e-06,0.0015035131594617124,0.001501256001308025,67176.0
7.5,0.05,8.333333333333333e-07,5e-05,4.999750012499375e-05,100000.0
7.5,0.15,0.10745473052609021,0.27595628415300544,0.21627408993576017,366.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09638905066977287 1.0 0.5 101.0
3 1.0 0.05 0.09711706464764124 1.0 0.5 101.0
4 1.0 0.15 0.3658512910114541 1.0 0.5 101.0
5 1.5 0.01 0.07585905649388468 1.0 0.5 101.0
6 1.5 0.05 0.06955484896661367 0.9099099099099099 0.47641509433962265 111.0
7 1.5 0.15 0.3531838477965444 1.0 0.5 101.0
8 2.0 0.01 0.05872834570721493 0.9805825242718447 0.4950980392156863 103.0
9 2.0 0.05 0.04893652376204719 0.8559322033898306 0.4611872146118721 118.0
10 2.0 0.15 0.358716754028344 1.0 0.5 101.0
11 2.5 0.01 0.041439724037763255 0.9351851851851852 0.48325358851674644 108.0
12 2.5 0.05 0.030349794238683128 0.6234567901234568 0.3840304182509506 162.0
13 2.5 0.15 0.35638710929916523 1.0 0.5 101.0
14 3.0 0.01 0.027046783625730993 0.8859649122807017 0.4697674418604651 114.0
15 3.0 0.05 0.015354075514503322 0.41735537190082644 0.2944606413994169 242.0
16 3.0 0.15 0.34986543637062667 0.9901960784313726 0.4975369458128079 102.0
17 3.5 0.01 0.014913007456503728 0.7112676056338029 0.4156378600823045 142.0
18 3.5 0.05 0.006678653994348831 0.2205240174672489 0.1806797853309481 458.0
19 3.5 0.15 0.3420531674208145 0.9711538461538461 0.4926829268292683 104.0
20 4.0 0.01 0.006992502883506344 0.4950980392156863 0.33114754098360655 204.0
21 4.0 0.05 0.0027284988069301796 0.10687830687830688 0.0965583173996176 945.0
22 4.0 0.15 0.35202806612841214 0.9901960784313726 0.4975369458128079 102.0
23 4.5 0.01 0.0037136066547831252 0.30606060606060603 0.23433874709976799 330.0
24 4.5 0.05 0.0008234519104084321 0.03992094861660079 0.03838844545800076 2530.0
25 4.5 0.15 0.32549935862195345 0.9439252336448598 0.4855769230769231 107.0
26 5.0 0.01 0.0017301038062283738 0.18566176470588236 0.15658914728682172 544.0
27 5.0 0.05 0.00023348461190479664 0.012527908707516746 0.012372902119318878 8062.0
28 5.0 0.15 0.31611022787493376 0.9099099099099099 0.47641509433962265 111.0
29 5.5 0.01 0.0007075471698113207 0.09528301886792453 0.08699397071490095 1060.0
30 5.5 0.05 9.101033815739543e-05 0.005297110190381287 0.005269198664440734 19067.0
31 5.5 0.15 0.2721342383107089 0.7769230769230769 0.43722943722943725 130.0
32 6.0 0.01 0.00027844965879526883 0.04281475201356507 0.04105691056910569 2359.0
33 6.0 0.05 2.693972096249136e-05 0.0015724249595217338 0.0015699563210172073 64232.0
34 6.0 0.15 0.2747697563874034 0.7651515151515151 0.4334763948497854 132.0
35 6.5 0.01 9.759351302834977e-05 0.01583320269634739 0.01558641975308642 6379.0
36 6.5 0.05 8.235294117647058e-06 0.00051 0.0005097400325833825 100000.0
37 6.5 0.15 0.2537604082728982 0.6917808219178082 0.4089068825910931 146.0
38 7.0 0.01 2.845840803665443e-05 0.0050548020619588605 0.005029379543870133 19981.0
39 7.0 0.05 1.8627450980392156e-06 0.00012 0.00011998560172779267 100000.0
40 7.0 0.15 0.16912844432927357 0.44493392070484583 0.3079268292682927 227.0
41 7.5 0.01 8.318797329578491e-06 0.0015035131594617124 0.001501256001308025 67176.0
42 7.5 0.05 8.333333333333333e-07 5e-05 4.999750012499375e-05 100000.0
43 7.5 0.15 0.10745473052609021 0.27595628415300544 0.21627408993576017 366.0

View File

@@ -0,0 +1,43 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09485056158385684,0.9805825242718447,0.4950980392156863,103.0
1.0,0.05,0.106779504254532,0.9528301886792453,0.48792270531400966,106.0
1.0,0.15,0.46515239759270044,1.0,0.5,101.0
1.5,0.01,0.0724950530670984,0.926605504587156,0.48095238095238096,109.0
1.5,0.05,0.08480825958702065,0.8938053097345132,0.4719626168224299,113.0
1.5,0.15,0.4687439332168511,1.0,0.5,101.0
2.0,0.01,0.05467571644042232,0.9711538461538461,0.4926829268292683,104.0
2.0,0.05,0.057177069301002845,0.7709923664122137,0.4353448275862069,131.0
2.0,0.15,0.4675305765870705,1.0,0.5,101.0
2.5,0.01,0.0378606727243743,0.8211382113821138,0.45089285714285715,123.0
2.5,0.05,0.03686019862490451,0.6558441558441559,0.396078431372549,154.0
2.5,0.15,0.4614152591729761,1.0,0.5,101.0
3.0,0.01,0.022684246112238,0.696551724137931,0.4105691056910569,145.0
3.0,0.05,0.021728226174190606,0.4697674418604651,0.31962025316455694,215.0
3.0,0.15,0.46646282275286355,1.0,0.5,101.0
3.5,0.01,0.011229946524064172,0.4590909090909091,0.3146417445482866,220.0
3.5,0.05,0.007686642732210255,0.23708920187793428,0.19165085388994307,426.0
3.5,0.15,0.45756439830834295,0.9901960784313726,0.4975369458128079,102.0
4.0,0.01,0.004439936894297949,0.23218390804597702,0.1884328358208955,435.0
4.0,0.05,0.00321382991066249,0.11952662721893491,0.10676532769556026,845.0
4.0,0.15,0.46198577470203767,0.9901960784313726,0.4975369458128079,102.0
4.5,0.01,0.001889182639347874,0.11348314606741573,0.10191725529767912,890.0
4.5,0.05,0.0012234001047832436,0.05741898806139852,0.0543010752688172,1759.0
4.5,0.15,0.4565422322775264,0.9711538461538461,0.4926829268292683,104.0
5.0,0.01,0.0007368453710598163,0.05327004219409283,0.05057586379569354,1896.0
5.0,0.05,0.00045380100996315,0.023433874709976796,0.022897302199047835,4310.0
5.0,0.15,0.4486681465038846,0.9528301886792453,0.48792270531400966,106.0
5.5,0.01,0.0002296611110550278,0.01733310451347177,0.01703778677462888,5827.0
5.5,0.05,0.000144290638987958,0.008078707406814909,0.008013964928985162,12502.0
5.5,0.15,0.42483660130718953,0.8859649122807017,0.4697674418604651,114.0
6.0,0.01,5.862294007464184e-05,0.004850871716055905,0.004827454354268235,20821.0
6.0,0.05,3.574830712135207e-05,0.002128780693434503,0.0021242586127119,47445.0
6.0,0.15,0.33221476510067116,0.6778523489932886,0.404,149.0
6.5,0.01,1.0637254901960784e-05,0.00087,0.0008692437579306003,100000.0
6.5,0.05,9.362745098039216e-06,0.00056,0.0005596865755177101,100000.0
6.5,0.15,0.3422160810632978,0.6778523489932886,0.404,149.0
7.0,0.01,2.8431372549019607e-06,0.0002,0.0001999600079984003,100000.0
7.0,0.05,3.284313725490196e-06,0.00019,0.00018996390685769703,100000.0
7.0,0.15,0.22319304290753958,0.4225941422594142,0.29705882352941176,239.0
7.5,0.01,1.176470588235294e-06,7e-05,6.999510034297599e-05,100000.0
7.5,0.05,1.0784313725490197e-06,6e-05,5.999640021598704e-05,100000.0
7.5,0.15,0.18240774570697843,0.3136645962732919,0.23877068557919623,322.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09485056158385684 0.9805825242718447 0.4950980392156863 103.0
3 1.0 0.05 0.106779504254532 0.9528301886792453 0.48792270531400966 106.0
4 1.0 0.15 0.46515239759270044 1.0 0.5 101.0
5 1.5 0.01 0.0724950530670984 0.926605504587156 0.48095238095238096 109.0
6 1.5 0.05 0.08480825958702065 0.8938053097345132 0.4719626168224299 113.0
7 1.5 0.15 0.4687439332168511 1.0 0.5 101.0
8 2.0 0.01 0.05467571644042232 0.9711538461538461 0.4926829268292683 104.0
9 2.0 0.05 0.057177069301002845 0.7709923664122137 0.4353448275862069 131.0
10 2.0 0.15 0.4675305765870705 1.0 0.5 101.0
11 2.5 0.01 0.0378606727243743 0.8211382113821138 0.45089285714285715 123.0
12 2.5 0.05 0.03686019862490451 0.6558441558441559 0.396078431372549 154.0
13 2.5 0.15 0.4614152591729761 1.0 0.5 101.0
14 3.0 0.01 0.022684246112238 0.696551724137931 0.4105691056910569 145.0
15 3.0 0.05 0.021728226174190606 0.4697674418604651 0.31962025316455694 215.0
16 3.0 0.15 0.46646282275286355 1.0 0.5 101.0
17 3.5 0.01 0.011229946524064172 0.4590909090909091 0.3146417445482866 220.0
18 3.5 0.05 0.007686642732210255 0.23708920187793428 0.19165085388994307 426.0
19 3.5 0.15 0.45756439830834295 0.9901960784313726 0.4975369458128079 102.0
20 4.0 0.01 0.004439936894297949 0.23218390804597702 0.1884328358208955 435.0
21 4.0 0.05 0.00321382991066249 0.11952662721893491 0.10676532769556026 845.0
22 4.0 0.15 0.46198577470203767 0.9901960784313726 0.4975369458128079 102.0
23 4.5 0.01 0.001889182639347874 0.11348314606741573 0.10191725529767912 890.0
24 4.5 0.05 0.0012234001047832436 0.05741898806139852 0.0543010752688172 1759.0
25 4.5 0.15 0.4565422322775264 0.9711538461538461 0.4926829268292683 104.0
26 5.0 0.01 0.0007368453710598163 0.05327004219409283 0.05057586379569354 1896.0
27 5.0 0.05 0.00045380100996315 0.023433874709976796 0.022897302199047835 4310.0
28 5.0 0.15 0.4486681465038846 0.9528301886792453 0.48792270531400966 106.0
29 5.5 0.01 0.0002296611110550278 0.01733310451347177 0.01703778677462888 5827.0
30 5.5 0.05 0.000144290638987958 0.008078707406814909 0.008013964928985162 12502.0
31 5.5 0.15 0.42483660130718953 0.8859649122807017 0.4697674418604651 114.0
32 6.0 0.01 5.862294007464184e-05 0.004850871716055905 0.004827454354268235 20821.0
33 6.0 0.05 3.574830712135207e-05 0.002128780693434503 0.0021242586127119 47445.0
34 6.0 0.15 0.33221476510067116 0.6778523489932886 0.404 149.0
35 6.5 0.01 1.0637254901960784e-05 0.00087 0.0008692437579306003 100000.0
36 6.5 0.05 9.362745098039216e-06 0.00056 0.0005596865755177101 100000.0
37 6.5 0.15 0.3422160810632978 0.6778523489932886 0.404 149.0
38 7.0 0.01 2.8431372549019607e-06 0.0002 0.0001999600079984003 100000.0
39 7.0 0.05 3.284313725490196e-06 0.00019 0.00018996390685769703 100000.0
40 7.0 0.15 0.22319304290753958 0.4225941422594142 0.29705882352941176 239.0
41 7.5 0.01 1.176470588235294e-06 7e-05 6.999510034297599e-05 100000.0
42 7.5 0.05 1.0784313725490197e-06 6e-05 5.999640021598704e-05 100000.0
43 7.5 0.15 0.18240774570697843 0.3136645962732919 0.23877068557919623 322.0

View File

@@ -0,0 +1,8 @@
{
"duration": 282.8636315409676,
"name": "2d_BER_FER_DFR_20433484_proximal_001",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"omega": 0.01,
"K": 200,
"end_time": "2023-09-07 00:23:05.990284"
}

View File

@@ -0,0 +1,290 @@
omega,gamma,BER,FER,DFR,num_iterations
0.0,0.0,1.0,1.0,0.0,101.0
0.0,0.01,1.0,1.0,0.0,101.0
0.0,0.02,1.0,1.0,0.0,101.0
0.0,0.03,1.0,1.0,0.0,101.0
0.0,0.04,1.0,1.0,0.0,101.0
0.0,0.05,1.0,1.0,0.0,101.0
0.0,0.06,1.0,1.0,0.0,101.0
0.0,0.07,1.0,1.0,0.0,101.0
0.0,0.08,1.0,1.0,0.0,101.0
0.0,0.09,1.0,1.0,0.0,101.0
0.0,0.1,1.0,1.0,0.0,101.0
0.0,0.11,1.0,1.0,0.0,101.0
0.0,0.12,1.0,1.0,0.0,101.0
0.0,0.13,1.0,1.0,0.0,101.0
0.0,0.14,1.0,1.0,0.0,101.0
0.0,0.15,1.0,1.0,0.0,101.0
0.0,0.16,1.0,1.0,0.0,101.0
0.01,0.0,0.05557173364395263,1.0,0.5,101.0
0.01,0.01,0.004465969079939668,0.24278846153846154,0.195357833655706,416.0
0.01,0.02,0.003342554172429691,0.1396957123098202,0.12257281553398058,723.0
0.01,0.03,0.0033624487902914123,0.13272010512483573,0.11716937354988399,761.0
0.01,0.04,0.0034746441396057764,0.13306982872200263,0.11744186046511627,759.0
0.01,0.05,0.003620617147663355,0.1353887399463807,0.1192443919716647,746.0
0.01,0.06,0.0037697144075021314,0.13722826086956522,0.12066905615292713,736.0
0.01,0.07,0.003924422753089591,0.1470160116448326,0.1281725888324873,687.0
0.01,0.08,0.00413444550641527,0.14918759231905465,0.12982005141388175,677.0
0.01,0.09,0.0030828516377649326,0.11676300578034682,0.10455486542443064,865.0
0.01,0.1,0.00318565713439028,0.12720403022670027,0.11284916201117319,794.0
0.01,0.11,0.007537688442211055,0.16917922948073702,0.14469914040114612,597.0
0.01,0.12,0.06334679794664647,0.4334763948497854,0.3023952095808383,233.0
0.01,0.13,0.248078431372549,0.808,0.4469026548672566,125.0
0.01,0.14,0.39742878283388827,0.9528301886792453,0.48792270531400966,106.0
0.01,0.15,0.4671280276816609,0.9901960784313726,0.4975369458128079,102.0
0.01,0.16,0.486847214133178,1.0,0.5,101.0
0.02,0.0,0.05673655600854203,1.0,0.5,101.0
0.02,0.01,0.004372641075209426,0.23708920187793428,0.19165085388994307,426.0
0.02,0.02,0.003407707910750507,0.1393103448275862,0.12227602905569007,725.0
0.02,0.03,0.0027149321266968325,0.11098901098901098,0.09990108803165183,910.0
0.02,0.04,0.0025679307255897284,0.10253807106598985,0.09300184162062615,985.0
0.02,0.05,0.003335414354421014,0.11910377358490566,0.10642781875658588,848.0
0.02,0.06,0.0026858660130718954,0.10520833333333333,0.09519321394910461,960.0
0.02,0.07,0.0027592798125539524,0.10587002096436059,0.09573459715639811,954.0
0.02,0.08,0.0029681597409606042,0.1158256880733945,0.10380267214799589,872.0
0.02,0.09,0.0038838093696901043,0.13892709766162312,0.12198067632850242,727.0
0.02,0.1,0.0032436766528172608,0.1251548946716233,0.11123348017621146,807.0
0.02,0.11,0.00547041105598866,0.15210843373493976,0.13202614379084968,664.0
0.02,0.12,0.04044563279857397,0.36727272727272725,0.26861702127659576,275.0
0.02,0.13,0.2152583255524432,0.8015873015873016,0.44493392070484583,126.0
0.02,0.14,0.35481949789261497,0.9439252336448598,0.4855769230769231,107.0
0.02,0.15,0.413244543100259,0.9528301886792453,0.48792270531400966,106.0
0.02,0.16,0.4605939463163906,0.9805825242718447,0.4950980392156863,103.0
0.03,0.0,0.05964861192001553,1.0,0.5,101.0
0.03,0.01,0.00591016548463357,0.35815602836879434,0.26370757180156656,282.0
0.03,0.02,0.003235011583884274,0.14553314121037464,0.1270440251572327,694.0
0.03,0.03,0.002948966192606441,0.11464245175936436,0.10285132382892057,881.0
0.03,0.04,0.002634114034559576,0.10337768679631525,0.09369202226345083,977.0
0.03,0.05,0.002691583645324365,0.10895361380798274,0.09824902723735408,927.0
0.03,0.06,0.0027185074691398058,0.1113561190738699,0.1001984126984127,907.0
0.03,0.07,0.002835499194341557,0.10779082177161152,0.09730250481695568,937.0
0.03,0.08,0.0029411764705882353,0.11412429378531073,0.10243407707910751,885.0
0.03,0.09,0.0029739692878304725,0.11649365628604383,0.10433884297520661,867.0
0.03,0.1,0.002852235784824879,0.10531803962460896,0.09528301886792453,959.0
0.03,0.11,0.004771333498336221,0.14165497896213183,0.12407862407862408,713.0
0.03,0.12,0.02764877880976952,0.2953216374269006,0.22799097065462753,342.0
0.03,0.13,0.172473604826546,0.7769230769230769,0.43722943722943725,130.0
0.03,0.14,0.318948140003665,0.9439252336448598,0.4855769230769231,107.0
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0.15,0.05,0.004554303991099986,0.23877068557919623,0.19274809160305342,423.0
0.15,0.06,0.0040910416211094106,0.18773234200743494,0.15805946791862285,538.0
0.15,0.07,0.003589624826308476,0.15905511811023623,0.13722826086956522,635.0
0.15,0.08,0.004037388665948908,0.16805324459234608,0.14387464387464388,601.0
0.15,0.09,0.0035881123609318335,0.15830721003134796,0.13667117726657646,638.0
0.15,0.1,0.003700142761413629,0.150074294205052,0.13049095607235142,673.0
0.15,0.11,0.0033417025346724055,0.12317073170731707,0.10966340933767643,820.0
0.15,0.12,0.005091036414565826,0.1442857142857143,0.12609238451935081,700.0
0.15,0.13,0.006610219845513963,0.15303030303030302,0.13272010512483573,660.0
0.15,0.14,0.010601709038045599,0.18264014466546113,0.154434250764526,553.0
0.15,0.15,0.025611368142762724,0.28370786516853935,0.2210065645514223,356.0
0.15,0.16,0.10255821078431372,0.7890625,0.4410480349344978,128.0
0.16,0.0,0.05833818675985246,1.0,0.5,101.0
0.16,0.01,0.028441079402057853,1.0,0.5,101.0
0.16,0.02,0.0180043980208906,0.9439252336448598,0.4855769230769231,107.0
0.16,0.03,0.007214680744092509,0.517948717948718,0.34121621621621623,195.0
0.16,0.04,0.006299627288932102,0.41735537190082644,0.2944606413994169,242.0
0.16,0.05,0.004272237862399368,0.25440806045340053,0.20281124497991967,397.0
0.16,0.06,0.0050882585813422756,0.23990498812351543,0.19348659003831417,421.0
0.16,0.07,0.0037791652974038777,0.18808193668528864,0.15830721003134796,537.0
0.16,0.08,0.004043223128667526,0.1843065693430657,0.15562403697996918,548.0
0.16,0.09,0.0033888153332072377,0.16237942122186494,0.1396957123098202,622.0
0.16,0.1,0.0037798251830852823,0.15210843373493976,0.13202614379084968,664.0
0.16,0.11,0.003688673193317156,0.14366998577524892,0.1256218905472637,703.0
0.16,0.12,0.005615838568437084,0.1634304207119741,0.1404728789986092,618.0
0.16,0.13,0.006882322821601759,0.15514592933947774,0.13430851063829788,651.0
0.16,0.14,0.008868092691622103,0.15303030303030302,0.13272010512483573,660.0
0.16,0.15,0.019311831012598275,0.24396135265700483,0.19611650485436893,414.0
0.16,0.16,0.07518593644354293,0.696551724137931,0.4105691056910569,145.0
1 omega gamma BER FER DFR num_iterations
2 0.0 0.0 1.0 1.0 0.0 101.0
3 0.0 0.01 1.0 1.0 0.0 101.0
4 0.0 0.02 1.0 1.0 0.0 101.0
5 0.0 0.03 1.0 1.0 0.0 101.0
6 0.0 0.04 1.0 1.0 0.0 101.0
7 0.0 0.05 1.0 1.0 0.0 101.0
8 0.0 0.06 1.0 1.0 0.0 101.0
9 0.0 0.07 1.0 1.0 0.0 101.0
10 0.0 0.08 1.0 1.0 0.0 101.0
11 0.0 0.09 1.0 1.0 0.0 101.0
12 0.0 0.1 1.0 1.0 0.0 101.0
13 0.0 0.11 1.0 1.0 0.0 101.0
14 0.0 0.12 1.0 1.0 0.0 101.0
15 0.0 0.13 1.0 1.0 0.0 101.0
16 0.0 0.14 1.0 1.0 0.0 101.0
17 0.0 0.15 1.0 1.0 0.0 101.0
18 0.0 0.16 1.0 1.0 0.0 101.0
19 0.01 0.0 0.05557173364395263 1.0 0.5 101.0
20 0.01 0.01 0.004465969079939668 0.24278846153846154 0.195357833655706 416.0
21 0.01 0.02 0.003342554172429691 0.1396957123098202 0.12257281553398058 723.0
22 0.01 0.03 0.0033624487902914123 0.13272010512483573 0.11716937354988399 761.0
23 0.01 0.04 0.0034746441396057764 0.13306982872200263 0.11744186046511627 759.0
24 0.01 0.05 0.003620617147663355 0.1353887399463807 0.1192443919716647 746.0
25 0.01 0.06 0.0037697144075021314 0.13722826086956522 0.12066905615292713 736.0
26 0.01 0.07 0.003924422753089591 0.1470160116448326 0.1281725888324873 687.0
27 0.01 0.08 0.00413444550641527 0.14918759231905465 0.12982005141388175 677.0
28 0.01 0.09 0.0030828516377649326 0.11676300578034682 0.10455486542443064 865.0
29 0.01 0.1 0.00318565713439028 0.12720403022670027 0.11284916201117319 794.0
30 0.01 0.11 0.007537688442211055 0.16917922948073702 0.14469914040114612 597.0
31 0.01 0.12 0.06334679794664647 0.4334763948497854 0.3023952095808383 233.0
32 0.01 0.13 0.248078431372549 0.808 0.4469026548672566 125.0
33 0.01 0.14 0.39742878283388827 0.9528301886792453 0.48792270531400966 106.0
34 0.01 0.15 0.4671280276816609 0.9901960784313726 0.4975369458128079 102.0
35 0.01 0.16 0.486847214133178 1.0 0.5 101.0
36 0.02 0.0 0.05673655600854203 1.0 0.5 101.0
37 0.02 0.01 0.004372641075209426 0.23708920187793428 0.19165085388994307 426.0
38 0.02 0.02 0.003407707910750507 0.1393103448275862 0.12227602905569007 725.0
39 0.02 0.03 0.0027149321266968325 0.11098901098901098 0.09990108803165183 910.0
40 0.02 0.04 0.0025679307255897284 0.10253807106598985 0.09300184162062615 985.0
41 0.02 0.05 0.003335414354421014 0.11910377358490566 0.10642781875658588 848.0
42 0.02 0.06 0.0026858660130718954 0.10520833333333333 0.09519321394910461 960.0
43 0.02 0.07 0.0027592798125539524 0.10587002096436059 0.09573459715639811 954.0
44 0.02 0.08 0.0029681597409606042 0.1158256880733945 0.10380267214799589 872.0
45 0.02 0.09 0.0038838093696901043 0.13892709766162312 0.12198067632850242 727.0
46 0.02 0.1 0.0032436766528172608 0.1251548946716233 0.11123348017621146 807.0
47 0.02 0.11 0.00547041105598866 0.15210843373493976 0.13202614379084968 664.0
48 0.02 0.12 0.04044563279857397 0.36727272727272725 0.26861702127659576 275.0
49 0.02 0.13 0.2152583255524432 0.8015873015873016 0.44493392070484583 126.0
50 0.02 0.14 0.35481949789261497 0.9439252336448598 0.4855769230769231 107.0
51 0.02 0.15 0.413244543100259 0.9528301886792453 0.48792270531400966 106.0
52 0.02 0.16 0.4605939463163906 0.9805825242718447 0.4950980392156863 103.0
53 0.03 0.0 0.05964861192001553 1.0 0.5 101.0
54 0.03 0.01 0.00591016548463357 0.35815602836879434 0.26370757180156656 282.0
55 0.03 0.02 0.003235011583884274 0.14553314121037464 0.1270440251572327 694.0
56 0.03 0.03 0.002948966192606441 0.11464245175936436 0.10285132382892057 881.0
57 0.03 0.04 0.002634114034559576 0.10337768679631525 0.09369202226345083 977.0
58 0.03 0.05 0.002691583645324365 0.10895361380798274 0.09824902723735408 927.0
59 0.03 0.06 0.0027185074691398058 0.1113561190738699 0.1001984126984127 907.0
60 0.03 0.07 0.002835499194341557 0.10779082177161152 0.09730250481695568 937.0
61 0.03 0.08 0.0029411764705882353 0.11412429378531073 0.10243407707910751 885.0
62 0.03 0.09 0.0029739692878304725 0.11649365628604383 0.10433884297520661 867.0
63 0.03 0.1 0.002852235784824879 0.10531803962460896 0.09528301886792453 959.0
64 0.03 0.11 0.004771333498336221 0.14165497896213183 0.12407862407862408 713.0
65 0.03 0.12 0.02764877880976952 0.2953216374269006 0.22799097065462753 342.0
66 0.03 0.13 0.172473604826546 0.7769230769230769 0.43722943722943725 130.0
67 0.03 0.14 0.318948140003665 0.9439252336448598 0.4855769230769231 107.0
68 0.03 0.15 0.40053302874547875 0.9805825242718447 0.4950980392156863 103.0
69 0.03 0.16 0.4563676955930887 1.0 0.5 101.0
70 0.04 0.0 0.0553290623179965 1.0 0.5 101.0
71 0.04 0.01 0.007307969059183306 0.463302752293578 0.3166144200626959 218.0
72 0.04 0.02 0.0032420749279538905 0.14553314121037464 0.1270440251572327 694.0
73 0.04 0.03 0.002896613190730838 0.10930735930735931 0.09853658536585366 924.0
74 0.04 0.04 0.0024386886148642004 0.10130391173520562 0.09198542805100182 997.0
75 0.04 0.05 0.0024809312727127513 0.10285132382892057 0.09325946445060018 982.0
76 0.04 0.06 0.0027238946970651215 0.10813704496788008 0.09758454106280193 934.0
77 0.04 0.07 0.0029323241712034703 0.11399548532731377 0.10233029381965553 886.0
78 0.04 0.08 0.0028812204383452133 0.1143827859569649 0.10264227642276423 883.0
79 0.04 0.09 0.0028942428035043806 0.1074468085106383 0.09702209414024976 940.0
80 0.04 0.1 0.003242473459972224 0.1212484993997599 0.10813704496788008 833.0
81 0.04 0.11 0.003474591692825622 0.11716937354988399 0.10488058151609553 862.0
82 0.04 0.12 0.017798072774342012 0.2469437652811736 0.1980392156862745 409.0
83 0.04 0.13 0.12245710784313725 0.63125 0.38697318007662834 160.0
84 0.04 0.14 0.27111613876319757 0.8632478632478633 0.463302752293578 117.0
85 0.04 0.15 0.377883506343714 0.9901960784313726 0.4975369458128079 102.0
86 0.04 0.16 0.4341875364006989 1.0 0.5 101.0
87 0.05 0.0 0.05455251407493691 1.0 0.5 101.0
88 0.05 0.01 0.007506127450980392 0.5260416666666666 0.3447098976109215 192.0
89 0.05 0.02 0.0042766537138773505 0.23006833712984054 0.18703703703703703 439.0
90 0.05 0.03 0.0034196702553700524 0.13395225464190982 0.11812865497076024 754.0
91 0.05 0.04 0.0029050812724139537 0.11995249406175772 0.1071049840933192 842.0
92 0.05 0.05 0.002653731649727954 0.10575916230366492 0.09564393939393939 955.0
93 0.05 0.06 0.002862079014195912 0.10721868365180467 0.09683604985618409 942.0
94 0.05 0.07 0.0027469192011169794 0.1042311661506708 0.09439252336448598 969.0
95 0.05 0.08 0.0029788399643908784 0.11757857974388825 0.10520833333333333 859.0
96 0.05 0.09 0.0030023145115507226 0.11247216035634744 0.1011011011011011 898.0
97 0.05 0.1 0.0030843798193434676 0.11348314606741573 0.10191725529767912 890.0
98 0.05 0.11 0.00295682697252219 0.11516533637400228 0.1032719836400818 877.0
99 0.05 0.12 0.011890255160444592 0.1902071563088512 0.15981012658227847 531.0
100 0.05 0.13 0.09668217569513682 0.5706214689265536 0.36330935251798563 177.0
101 0.05 0.14 0.22452656276185687 0.8632478632478633 0.463302752293578 117.0
102 0.05 0.15 0.34403280542986425 0.9711538461538461 0.4926829268292683 104.0
103 0.05 0.16 0.40846437584934964 1.0 0.5 101.0
104 0.06 0.0 0.05741603572121918 1.0 0.5 101.0
105 0.06 0.01 0.01129884577944653 0.7163120567375887 0.41735537190082644 141.0
106 0.06 0.02 0.005112797807294961 0.271505376344086 0.2135306553911205 372.0
107 0.06 0.03 0.003389653733833959 0.1534954407294833 0.13306982872200263 658.0
108 0.06 0.04 0.0026996305768684286 0.11259754738015608 0.10120240480961924 897.0
109 0.06 0.05 0.0029209157830755723 0.11595866819747416 0.10390946502057613 871.0
110 0.06 0.06 0.003210303729334871 0.13202614379084968 0.11662817551963048 765.0
111 0.06 0.07 0.0025512249889730943 0.1032719836400818 0.09360518999073215 978.0
112 0.06 0.08 0.0028642421974091866 0.1071049840933192 0.09674329501915709 943.0
113 0.06 0.09 0.0028399006034788782 0.10756123535676251 0.09711538461538462 939.0
114 0.06 0.1 0.0035072039865670025 0.13950276243093923 0.12242424242424242 724.0
115 0.06 0.11 0.0031446540880503146 0.1120976692563818 0.10079840319361277 901.0
116 0.06 0.12 0.008929517753047164 0.18198198198198198 0.15396341463414634 555.0
117 0.06 0.13 0.0619281045751634 0.48095238095238096 0.3247588424437299 210.0
118 0.06 0.14 0.2031099324975892 0.8278688524590164 0.452914798206278 122.0
119 0.06 0.15 0.31531279178338 0.9619047619047619 0.49029126213592233 105.0
120 0.06 0.16 0.377256843331392 1.0 0.5 101.0
121 0.07 0.0 0.056493884682585906 1.0 0.5 101.0
122 0.07 0.01 0.012773722627737226 0.7372262773722628 0.42436974789915966 137.0
123 0.07 0.02 0.00528670770633835 0.2936046511627907 0.22696629213483147 344.0
124 0.07 0.03 0.003625760649087221 0.17413793103448275 0.14831130690161526 580.0
125 0.07 0.04 0.003091503267973856 0.13466666666666666 0.11868390129259694 750.0
126 0.07 0.05 0.002866850711403695 0.12154031287605295 0.10836909871244635 831.0
127 0.07 0.06 0.003551936238412891 0.1487481590574374 0.1294871794871795 679.0
128 0.07 0.07 0.00342932722463116 0.1404728789986092 0.12317073170731707 719.0
129 0.07 0.08 0.003390201224846894 0.1325459317585302 0.11703360370799537 762.0
130 0.07 0.09 0.0027843951703215033 0.10488058151609553 0.09492481203007519 963.0
131 0.07 0.1 0.0037088548910523874 0.1404728789986092 0.12317073170731707 719.0
132 0.07 0.11 0.0038044063779357896 0.13873626373626374 0.1218335343787696 728.0
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185 0.1 0.13 0.011723307365172556 0.19385796545105566 0.16237942122186494 521.0
186 0.1 0.14 0.05893393393393393 0.45495495495495497 0.3126934984520124 222.0
187 0.1 0.15 0.1779788838612368 0.8632478632478633 0.463302752293578 117.0
188 0.1 0.16 0.26563958916900093 0.9619047619047619 0.49029126213592233 105.0
189 0.11 0.0 0.05566880217433508 1.0 0.5 101.0
190 0.11 0.01 0.0217288838612368 0.9711538461538461 0.4926829268292683 104.0
191 0.11 0.02 0.010117419060647516 0.5872093023255814 0.36996336996337 172.0
192 0.11 0.03 0.00456299541093033 0.26861702127659576 0.21174004192872117 376.0
193 0.11 0.04 0.0032057805821290456 0.17474048442906576 0.1487481590574374 578.0
194 0.11 0.05 0.0031770602978033317 0.1518796992481203 0.13185378590078328 665.0
195 0.11 0.06 0.0030250839074368488 0.15165165165165165 0.1316818774445893 666.0
196 0.11 0.07 0.002913615245294905 0.13520749665327977 0.11910377358490566 747.0
197 0.11 0.08 0.0032679738562091504 0.14449213161659513 0.12625 699.0
198 0.11 0.09 0.0037315701474388203 0.15658914728682172 0.1353887399463807 645.0
199 0.11 0.1 0.003526093088857546 0.14245416078984485 0.12469135802469136 709.0
200 0.11 0.11 0.00364968391728276 0.13797814207650272 0.1212484993997599 732.0
201 0.11 0.12 0.005349989458148851 0.135752688172043 0.11952662721893491 744.0
202 0.11 0.13 0.008141883362787174 0.14449213161659513 0.12625 699.0
203 0.11 0.14 0.04063654447286161 0.36594202898550726 0.26790450928381965 276.0
204 0.11 0.15 0.12823083778966132 0.7651515151515151 0.4334763948497854 132.0
205 0.11 0.16 0.24428104575163398 0.9901960784313726 0.4975369458128079 102.0
206 0.12 0.0 0.055960007765482433 1.0 0.5 101.0
207 0.12 0.01 0.023295985060690944 0.9619047619047619 0.49029126213592233 105.0
208 0.12 0.02 0.011054086063955783 0.6778523489932886 0.404 149.0
209 0.12 0.03 0.005991285403050109 0.3400673400673401 0.2537688442211055 297.0
210 0.12 0.04 0.005194805194805195 0.2623376623376623 0.20781893004115226 385.0
211 0.12 0.05 0.003100589829427706 0.16422764227642275 0.14106145251396648 615.0
212 0.12 0.06 0.0038107991932017325 0.1703204047217538 0.14553314121037464 593.0
213 0.12 0.07 0.0032633053221288516 0.1442857142857143 0.12609238451935081 700.0
214 0.12 0.08 0.0031388577229256825 0.13760217983651227 0.12095808383233533 734.0
215 0.12 0.09 0.002691964075798185 0.1211031175059952 0.10802139037433155 834.0
216 0.12 0.1 0.003717695029081969 0.154434250764526 0.1337748344370861 654.0
217 0.12 0.11 0.003812636165577342 0.1537290715372907 0.13324538258575197 657.0
218 0.12 0.12 0.004409847380934121 0.1316818774445893 0.11635944700460829 767.0
219 0.12 0.13 0.008479067302596715 0.18198198198198198 0.15396341463414634 555.0
220 0.12 0.14 0.028899851079672374 0.31962025316455694 0.2422062350119904 316.0
221 0.12 0.15 0.09716386554621849 0.7214285714285714 0.4190871369294606 140.0
222 0.12 0.16 0.21143790849673202 0.9619047619047619 0.49029126213592233 105.0
223 0.13 0.0 0.05464958260531935 1.0 0.5 101.0
224 0.13 0.01 0.02551903114186851 0.9901960784313726 0.4975369458128079 102.0
225 0.13 0.02 0.0117360812938314 0.7372262773722628 0.42436974789915966 137.0
226 0.13 0.03 0.006288171006107361 0.4139344262295082 0.2927536231884058 244.0
227 0.13 0.04 0.004410696740569866 0.22004357298474944 0.18035714285714285 459.0
228 0.13 0.05 0.004014852209540533 0.1884328358208955 0.15855572998430142 536.0
229 0.13 0.06 0.004524160338509199 0.19460500963391136 0.1629032258064516 519.0
230 0.13 0.07 0.0031739314430808295 0.14532374100719425 0.12688442211055276 695.0
231 0.13 0.08 0.00282879950399132 0.13306982872200263 0.11744186046511627 759.0
232 0.13 0.09 0.002699104333091261 0.12469135802469136 0.11086717892425905 810.0
233 0.13 0.1 0.0029612100267948816 0.12899106002554278 0.11425339366515837 783.0
234 0.13 0.11 0.0033274688288839594 0.13133940182054615 0.11609195402298851 769.0
235 0.13 0.12 0.004166043007533802 0.12849872773536897 0.11386696730552424 786.0
236 0.13 0.13 0.007518391972173485 0.15855572998430142 0.13685636856368563 637.0
237 0.13 0.14 0.01922784617723058 0.26098191214470284 0.2069672131147541 387.0
238 0.13 0.15 0.06568627450980392 0.5611111111111111 0.3594306049822064 180.0
239 0.13 0.16 0.1679036100421477 0.9439252336448598 0.4855769230769231 107.0
240 0.14 0.0 0.05693069306930693 1.0 0.5 101.0
241 0.14 0.01 0.024557862360630525 0.9901960784313726 0.4975369458128079 102.0
242 0.14 0.02 0.012371615312791783 0.8015873015873016 0.44493392070484583 126.0
243 0.14 0.03 0.007073715562174236 0.42616033755274263 0.2988165680473373 237.0
244 0.14 0.04 0.004597175657827898 0.2616580310880829 0.20739219712525667 386.0
245 0.14 0.05 0.0042002486066001045 0.2065439672801636 0.1711864406779661 489.0
246 0.14 0.06 0.0035925329035723878 0.17294520547945205 0.14744525547445256 584.0
247 0.14 0.07 0.0035056001411059175 0.15142428785607195 0.13151041666666666 667.0
248 0.14 0.08 0.002958902615288118 0.1404728789986092 0.12317073170731707 719.0
249 0.14 0.09 0.0032347241222070223 0.14680232558139536 0.12801013941698353 688.0
250 0.14 0.1 0.00330697605675436 0.12688442211055276 0.11259754738015608 796.0
251 0.14 0.11 0.0034076130452180874 0.1288265306122449 0.11412429378531073 784.0
252 0.14 0.12 0.00394354503943545 0.12577833125778332 0.11172566371681415 803.0
253 0.14 0.13 0.008008153756552125 0.16666666666666666 0.14285714285714285 606.0
254 0.14 0.14 0.013108409099207654 0.18808193668528864 0.15830721003134796 537.0
255 0.14 0.15 0.04184747669559627 0.4139344262295082 0.2927536231884058 244.0
256 0.14 0.16 0.13326686606846128 0.8559322033898306 0.4611872146118721 118.0
257 0.15 0.0 0.05702776159968938 1.0 0.5 101.0
258 0.15 0.01 0.026693845855173752 1.0 0.5 101.0
259 0.15 0.02 0.013411764705882352 0.808 0.4469026548672566 125.0
260 0.15 0.03 0.007899014528091029 0.5233160621761658 0.3435374149659864 193.0
261 0.15 0.04 0.0054018317853457174 0.33223684210526316 0.24938271604938272 304.0
262 0.15 0.05 0.004554303991099986 0.23877068557919623 0.19274809160305342 423.0
263 0.15 0.06 0.0040910416211094106 0.18773234200743494 0.15805946791862285 538.0
264 0.15 0.07 0.003589624826308476 0.15905511811023623 0.13722826086956522 635.0
265 0.15 0.08 0.004037388665948908 0.16805324459234608 0.14387464387464388 601.0
266 0.15 0.09 0.0035881123609318335 0.15830721003134796 0.13667117726657646 638.0
267 0.15 0.1 0.003700142761413629 0.150074294205052 0.13049095607235142 673.0
268 0.15 0.11 0.0033417025346724055 0.12317073170731707 0.10966340933767643 820.0
269 0.15 0.12 0.005091036414565826 0.1442857142857143 0.12609238451935081 700.0
270 0.15 0.13 0.006610219845513963 0.15303030303030302 0.13272010512483573 660.0
271 0.15 0.14 0.010601709038045599 0.18264014466546113 0.154434250764526 553.0
272 0.15 0.15 0.025611368142762724 0.28370786516853935 0.2210065645514223 356.0
273 0.15 0.16 0.10255821078431372 0.7890625 0.4410480349344978 128.0
274 0.16 0.0 0.05833818675985246 1.0 0.5 101.0
275 0.16 0.01 0.028441079402057853 1.0 0.5 101.0
276 0.16 0.02 0.0180043980208906 0.9439252336448598 0.4855769230769231 107.0
277 0.16 0.03 0.007214680744092509 0.517948717948718 0.34121621621621623 195.0
278 0.16 0.04 0.006299627288932102 0.41735537190082644 0.2944606413994169 242.0
279 0.16 0.05 0.004272237862399368 0.25440806045340053 0.20281124497991967 397.0
280 0.16 0.06 0.0050882585813422756 0.23990498812351543 0.19348659003831417 421.0
281 0.16 0.07 0.0037791652974038777 0.18808193668528864 0.15830721003134796 537.0
282 0.16 0.08 0.004043223128667526 0.1843065693430657 0.15562403697996918 548.0
283 0.16 0.09 0.0033888153332072377 0.16237942122186494 0.1396957123098202 622.0
284 0.16 0.1 0.0037798251830852823 0.15210843373493976 0.13202614379084968 664.0
285 0.16 0.11 0.003688673193317156 0.14366998577524892 0.1256218905472637 703.0
286 0.16 0.12 0.005615838568437084 0.1634304207119741 0.1404728789986092 618.0
287 0.16 0.13 0.006882322821601759 0.15514592933947774 0.13430851063829788 651.0
288 0.16 0.14 0.008868092691622103 0.15303030303030302 0.13272010512483573 660.0
289 0.16 0.15 0.019311831012598275 0.24396135265700483 0.19611650485436893 414.0
290 0.16 0.16 0.07518593644354293 0.696551724137931 0.4105691056910569 145.0

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@@ -0,0 +1,8 @@
{
"duration": 72.15232186199864,
"name": "2d_BER_FER_DFR_20433484_proximal_gamma_omega",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"SNR": 4,
"K": 200,
"end_time": "2023-09-07 07:31:00.576800"
}

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@@ -0,0 +1,8 @@
{
"duration": 89.19017649098532,
"name": "2d_BER_FER_DFR_20433484_proximal",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"omega": 0.05,
"K": 200,
"end_time": "2023-09-06 23:51:45.444947"
}

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@@ -0,0 +1,43 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09294215198517218,1.0,0.5,201.0
1.0,0.05,0.09266287160025301,0.9262672811059908,0.48086124401913877,217.0
1.0,0.15,0.36579358111403765,1.0,0.5,201.0
1.5,0.01,0.07467564140083895,1.0,0.5,201.0
1.5,0.05,0.07036004056795132,0.8663793103448276,0.46420323325635104,232.0
1.5,0.15,0.3652082723636718,1.0,0.5,201.0
2.0,0.01,0.05508065295083551,0.9901477832512315,0.4975247524752475,203.0
2.0,0.05,0.04642857142857143,0.7178571428571429,0.4178794178794179,280.0
2.0,0.15,0.36176958345527266,1.0,0.5,201.0
2.5,0.01,0.038535509897739,0.9617224880382775,0.4902439024390244,209.0
2.5,0.05,0.025047005103411228,0.4589041095890411,0.3145539906103286,438.0
2.5,0.15,0.3587942639742464,1.0,0.5,201.0
3.0,0.01,0.024389263902282226,0.8237704918032787,0.451685393258427,244.0
3.0,0.05,0.012397875816993463,0.2791666666666667,0.2182410423452769,720.0
3.0,0.15,0.3486848397895744,0.9804878048780488,0.49507389162561577,205.0
3.5,0.01,0.014442689827608896,0.674496644295302,0.4028056112224449,298.0
3.5,0.05,0.004892448570631357,0.13001293661060803,0.11505437893531768,1546.0
3.5,0.15,0.3340802987861811,0.9571428571428572,0.48905109489051096,210.0
4.0,0.01,0.008129186836829495,0.5012468827930174,0.3338870431893688,401.0
4.0,0.05,0.0016224799779066556,0.047183098591549295,0.04505716207128446,4260.0
4.0,0.15,0.3355742296918767,0.9571428571428572,0.48905109489051096,210.0
4.5,0.01,0.004412687862338909,0.3785310734463277,0.27459016393442626,531.0
4.5,0.05,0.00040633863608336416,0.012641509433962264,0.012483696664803428,15900.0
4.5,0.15,0.32515586879913255,0.9262672811059908,0.48086124401913877,217.0
5.0,0.01,0.0020437971544459157,0.21543408360128619,0.17724867724867724,933.0
5.0,0.05,8.372373611984121e-05,0.0029142683156689045,0.0029058000346961197,68971.0
5.0,0.15,0.32007575757575757,0.9136363636363637,0.47743467933491684,220.0
5.5,0.01,0.0007414730598121602,0.08889871738168952,0.08164094232331438,2261.0
5.5,0.05,1.691176470588235e-05,0.00067,0.0006695514005616237,100000.0
5.5,0.15,0.29899918300653594,0.8375,0.4557823129251701,240.0
6.0,0.01,0.00025966458934995187,0.03709856035437431,0.03577148958889482,5418.0
6.0,0.05,2.450980392156863e-06,0.0001,9.999000099990002e-05,100000.0
6.0,0.15,0.27061761034001613,0.7528089887640449,0.42948717948717946,267.0
6.5,0.01,8.983699761414308e-05,0.01369396375528001,0.013508972377175885,14678.0
6.5,0.05,6.862745098039216e-07,3e-05,2.999910002699919e-05,100000.0
6.5,0.15,0.23291316526610645,0.638095238095238,0.38953488372093026,315.0
7.0,0.01,2.8695104471701606e-05,0.004902558598990219,0.004878640776699029,40999.0
7.0,0.05,0.0,0.0,0.0,100000.0
7.0,0.15,0.15509119458871845,0.4127310061601643,0.2921511627906977,487.0
7.5,0.01,7.303921568627451e-06,0.0013,0.0012983121941476082,100000.0
7.5,0.05,0.0,0.0,0.0,100000.0
7.5,0.15,0.10231705414261195,0.26657824933687,0.21047120418848167,754.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09294215198517218 1.0 0.5 201.0
3 1.0 0.05 0.09266287160025301 0.9262672811059908 0.48086124401913877 217.0
4 1.0 0.15 0.36579358111403765 1.0 0.5 201.0
5 1.5 0.01 0.07467564140083895 1.0 0.5 201.0
6 1.5 0.05 0.07036004056795132 0.8663793103448276 0.46420323325635104 232.0
7 1.5 0.15 0.3652082723636718 1.0 0.5 201.0
8 2.0 0.01 0.05508065295083551 0.9901477832512315 0.4975247524752475 203.0
9 2.0 0.05 0.04642857142857143 0.7178571428571429 0.4178794178794179 280.0
10 2.0 0.15 0.36176958345527266 1.0 0.5 201.0
11 2.5 0.01 0.038535509897739 0.9617224880382775 0.4902439024390244 209.0
12 2.5 0.05 0.025047005103411228 0.4589041095890411 0.3145539906103286 438.0
13 2.5 0.15 0.3587942639742464 1.0 0.5 201.0
14 3.0 0.01 0.024389263902282226 0.8237704918032787 0.451685393258427 244.0
15 3.0 0.05 0.012397875816993463 0.2791666666666667 0.2182410423452769 720.0
16 3.0 0.15 0.3486848397895744 0.9804878048780488 0.49507389162561577 205.0
17 3.5 0.01 0.014442689827608896 0.674496644295302 0.4028056112224449 298.0
18 3.5 0.05 0.004892448570631357 0.13001293661060803 0.11505437893531768 1546.0
19 3.5 0.15 0.3340802987861811 0.9571428571428572 0.48905109489051096 210.0
20 4.0 0.01 0.008129186836829495 0.5012468827930174 0.3338870431893688 401.0
21 4.0 0.05 0.0016224799779066556 0.047183098591549295 0.04505716207128446 4260.0
22 4.0 0.15 0.3355742296918767 0.9571428571428572 0.48905109489051096 210.0
23 4.5 0.01 0.004412687862338909 0.3785310734463277 0.27459016393442626 531.0
24 4.5 0.05 0.00040633863608336416 0.012641509433962264 0.012483696664803428 15900.0
25 4.5 0.15 0.32515586879913255 0.9262672811059908 0.48086124401913877 217.0
26 5.0 0.01 0.0020437971544459157 0.21543408360128619 0.17724867724867724 933.0
27 5.0 0.05 8.372373611984121e-05 0.0029142683156689045 0.0029058000346961197 68971.0
28 5.0 0.15 0.32007575757575757 0.9136363636363637 0.47743467933491684 220.0
29 5.5 0.01 0.0007414730598121602 0.08889871738168952 0.08164094232331438 2261.0
30 5.5 0.05 1.691176470588235e-05 0.00067 0.0006695514005616237 100000.0
31 5.5 0.15 0.29899918300653594 0.8375 0.4557823129251701 240.0
32 6.0 0.01 0.00025966458934995187 0.03709856035437431 0.03577148958889482 5418.0
33 6.0 0.05 2.450980392156863e-06 0.0001 9.999000099990002e-05 100000.0
34 6.0 0.15 0.27061761034001613 0.7528089887640449 0.42948717948717946 267.0
35 6.5 0.01 8.983699761414308e-05 0.01369396375528001 0.013508972377175885 14678.0
36 6.5 0.05 6.862745098039216e-07 3e-05 2.999910002699919e-05 100000.0
37 6.5 0.15 0.23291316526610645 0.638095238095238 0.38953488372093026 315.0
38 7.0 0.01 2.8695104471701606e-05 0.004902558598990219 0.004878640776699029 40999.0
39 7.0 0.05 0.0 0.0 0.0 100000.0
40 7.0 0.15 0.15509119458871845 0.4127310061601643 0.2921511627906977 487.0
41 7.5 0.01 7.303921568627451e-06 0.0013 0.0012983121941476082 100000.0
42 7.5 0.05 0.0 0.0 0.0 100000.0
43 7.5 0.15 0.10231705414261195 0.26657824933687 0.21047120418848167 754.0

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@@ -0,0 +1,9 @@
{
"duration": 224.4556210610317,
"name": "2d_BER_FER_DFR_20433484_variance",
"platform": "Linux-6.4.12-arch1-1-x86_64-with-glibc2.38",
"omega": 0.05,
"K": 200,
"min_var_k": 100,
"end_time": "2023-09-06 23:49:53.037586"
}

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@@ -0,0 +1,11 @@
SNR,diff_mean_BER,diff_mean_FER
1.0,-0.045780885957614745,0.0013141444230320154
1.5,-0.04149489718868045,-0.005270498396507506
2.0,-0.03243618943714469,-0.0012258427020246376
2.5,-0.02237818757956165,0.002915304993033274
3.0,-0.01283617032801615,-0.003688769065607722
3.5,-0.005836966154339851,0.0010568915640299659
4.0,-0.0021547663311747,-0.0004678620824345031
4.5,-0.0006497523519598499,4.186123790774973e-05
5.0,-0.00017733295873135802,-3.056069052344984e-05
5.5,-4.181360636118232e-05,1.8278991292149972e-05
1 SNR diff_mean_BER diff_mean_FER
2 1.0 -0.045780885957614745 0.0013141444230320154
3 1.5 -0.04149489718868045 -0.005270498396507506
4 2.0 -0.03243618943714469 -0.0012258427020246376
5 2.5 -0.02237818757956165 0.002915304993033274
6 3.0 -0.01283617032801615 -0.003688769065607722
7 3.5 -0.005836966154339851 0.0010568915640299659
8 4.0 -0.0021547663311747 -0.0004678620824345031
9 4.5 -0.0006497523519598499 4.186123790774973e-05
10 5.0 -0.00017733295873135802 -3.056069052344984e-05
11 5.5 -4.181360636118232e-05 1.8278991292149972e-05

35
res/new_stuff/diff.py Normal file
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@@ -0,0 +1,35 @@
import numpy as np
import pandas as pd
def main():
df_prox = pd.read_csv('2d_ber_fer_dfr_20433484_proximal_gamma_omega.csv')
df_abs = pd.read_csv('2d_ber_fer_dfr_20433484_abs_gamma_omega.csv')
df_diff = df_abs
df_diff["BER"] /= df_prox["BER"]
df_diff["FER"] /= df_prox["FER"]
df_diff["DFR"] /= df_prox["DFR"]
# df_prox["BER"] = np.log10(df_prox["BER"])
# df_abs["BER"] = np.log10(df_abs["BER"])
# df_prox["FER"] = np.log10(df_prox["FER"])
# df_abs["FER"] = np.log10(df_abs["FER"])
# df_prox["DFR"] = np.log10(df_prox["DFR"])
# df_abs["DFR"] = np.log10(df_abs["DFR"])
#
# df_diff = df_prox
# df_diff["BER"] -= df_abs["BER"]
# df_diff["FER"] -= df_abs["FER"]
# df_diff["DFR"] -= df_abs["DFR"]
print(df_prox)
print(df_abs)
print(df_diff)
df_diff.to_csv("2d_ber_fer_dfr_20433484_diff_gamma_omega.csv", index=False)
if __name__=="__main__":
main()

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@@ -0,0 +1,11 @@
SNR,diff_mean_BER,diff_mean_FER
1.0,0.0,0.0
1.5,0.0,0.0
2.0,0.0,0.0
2.5,0.0,0.0
3.0,0.0,0.0
3.5,0.0,0.0
4.0,0.0,0.0
4.5,0.0,0.0
5.0,0.0,0.0
5.5,0.0,0.0
1 SNR diff_mean_BER diff_mean_FER
2 1.0 0.0 0.0
3 1.5 0.0 0.0
4 2.0 0.0 0.0
5 2.5 0.0 0.0
6 3.0 0.0 0.0
7 3.5 0.0 0.0
8 4.0 0.0 0.0
9 4.5 0.0 0.0
10 5.0 0.0 0.0
11 5.5 0.0 0.0

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.11344502491529662,0.11189694433342695,0.9567602123037345,0.9471789630564101,0.48894089966196463,0.48642855635334714
1.5,0.08625805655159474,0.08371329627654384,0.8769509576302362,0.8607833541871258,0.46717714495462787,0.4625567722572366
2.0,0.05803217829254999,0.056441502890591855,0.7213439829859329,0.7068331694023673,0.4190089259662673,0.41406870504578736
2.5,0.034170906910970335,0.03277966810431659,0.5057335966222983,0.48834405735960423,0.3357628971853626,0.32802574618862007
3.0,0.016925865635099728,0.016170237424326953,0.2970897160437832,0.2843269938985751,0.22897205676724008,0.22129911988383977
3.5,0.0067875800944768834,0.006512474530272248,0.13621185211726577,0.13142556909693887,0.11986487155896819,0.11614948789179655
4.0,0.0022674003001232072,0.0021724511754594128,0.051269424381153936,0.04916299625687215,0.04875082379951835,0.04683740637511351
4.5,0.0006398254652352149,0.0006076691433466334,0.01568235558815805,0.014932088306978316,0.015434492917474526,0.01470668939155515
5.0,0.0001626517137215365,0.0001544274589615445,0.004212079761902525,0.0040078503345821045,0.004193250757868539,0.003990826400000328
5.5,3.689954353583904e-05,3.516684717990945e-05,0.0009887728249293678,0.000942289213614766,0.000987515128311518,0.0009410696881952495
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.11344502491529662 0.11189694433342695 0.9567602123037345 0.9471789630564101 0.48894089966196463 0.48642855635334714
3 1.5 0.08625805655159474 0.08371329627654384 0.8769509576302362 0.8607833541871258 0.46717714495462787 0.4625567722572366
4 2.0 0.05803217829254999 0.056441502890591855 0.7213439829859329 0.7068331694023673 0.4190089259662673 0.41406870504578736
5 2.5 0.034170906910970335 0.03277966810431659 0.5057335966222983 0.48834405735960423 0.3357628971853626 0.32802574618862007
6 3.0 0.016925865635099728 0.016170237424326953 0.2970897160437832 0.2843269938985751 0.22897205676724008 0.22129911988383977
7 3.5 0.0067875800944768834 0.006512474530272248 0.13621185211726577 0.13142556909693887 0.11986487155896819 0.11614948789179655
8 4.0 0.0022674003001232072 0.0021724511754594128 0.051269424381153936 0.04916299625687215 0.04875082379951835 0.04683740637511351
9 4.5 0.0006398254652352149 0.0006076691433466334 0.01568235558815805 0.014932088306978316 0.015434492917474526 0.01470668939155515
10 5.0 0.0001626517137215365 0.0001544274589615445 0.004212079761902525 0.0040078503345821045 0.004193250757868539 0.003990826400000328
11 5.5 3.689954353583904e-05 3.516684717990945e-05 0.0009887728249293678 0.000942289213614766 0.000987515128311518 0.0009410696881952495

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.11297983305660485,0.11121901640881311,0.9609017934698552,0.9465393950143015,0.490007421108949,0.4862508977975749
1.5,0.0855076256816604,0.08337991365385758,0.8875618250980833,0.8672820306267567,0.47017557950475963,0.46441239464681205
2.0,0.059234011509049285,0.055763979548991614,0.725880785050065,0.6986309324389088,0.42045387351685054,0.4112095365351079
2.5,0.03415061311677852,0.03172036348419042,0.5044528272085026,0.48058741463072935,0.3351973983904628,0.3244521495459487
3.0,0.017373645047442453,0.016249113841607328,0.3052905195128307,0.28791293629865977,0.23377291327277339,0.22346396809464492
3.5,0.007075147169259416,0.006371077864338295,0.13851096456518838,0.12835674144536238,0.12155572036360923,0.11362842534019976
4.0,0.002426912797066431,0.0022209754022893546,0.05293379488485177,0.048367303721442406,0.05024842471994315,0.04613420520778587
4.5,0.0006614564980997393,0.000614613748684848,0.016173616383499286,0.015129591520506882,0.015894909741053623,0.014882236943473862
5.0,0.00016729341260682455,0.00015674330369035424,0.004349124292712085,0.004081451225485604,0.004330253382472908,0.004064796027938427
5.5,3.687440330095247e-05,3.410902413726036e-05,0.000991750337916676,0.0009198374405919125,0.000990093643629479,0.0009184525090883194
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.11297983305660485 0.11121901640881311 0.9609017934698552 0.9465393950143015 0.490007421108949 0.4862508977975749
3 1.5 0.0855076256816604 0.08337991365385758 0.8875618250980833 0.8672820306267567 0.47017557950475963 0.46441239464681205
4 2.0 0.059234011509049285 0.055763979548991614 0.725880785050065 0.6986309324389088 0.42045387351685054 0.4112095365351079
5 2.5 0.03415061311677852 0.03172036348419042 0.5044528272085026 0.48058741463072935 0.3351973983904628 0.3244521495459487
6 3.0 0.017373645047442453 0.016249113841607328 0.3052905195128307 0.28791293629865977 0.23377291327277339 0.22346396809464492
7 3.5 0.007075147169259416 0.006371077864338295 0.13851096456518838 0.12835674144536238 0.12155572036360923 0.11362842534019976
8 4.0 0.002426912797066431 0.0022209754022893546 0.05293379488485177 0.048367303721442406 0.05024842471994315 0.04613420520778587
9 4.5 0.0006614564980997393 0.000614613748684848 0.016173616383499286 0.015129591520506882 0.015894909741053623 0.014882236943473862
10 5.0 0.00016729341260682455 0.00015674330369035424 0.004349124292712085 0.004081451225485604 0.004330253382472908 0.004064796027938427
11 5.5 3.687440330095247e-05 3.410902413726036e-05 0.000991750337916676 0.0009198374405919125 0.000990093643629479 0.0009184525090883194

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.9528380174275021,0.9401901275847856,0.9528380174275021,0.9401901275847856,0.4879053721483113,0.48457571951086265
1.5,0.8422567775640827,0.8334997828897687,0.8422567775640827,0.8334997828897687,0.45716999071954484,0.4545953535487172
2.0,0.7383668744575732,0.7256752120060378,0.7383668744575732,0.7256752120060378,0.42471648501438575,0.42050449166387727
2.5,0.5175637954505531,0.5042699596594334,0.5175637954505531,0.5042699596594334,0.34098021215224916,0.33522400502070726
3.0,0.29279074535512545,0.28415353949258165,0.29279074535512545,0.28415353949258165,0.22644880393283623,0.22125906549974955
3.5,0.13355419328614057,0.1284287817345289,0.13355419328614057,0.1284287817345289,0.11780429645859114,0.11380133096987233
4.0,0.05112766473168449,0.050335731110340946,0.05112766473168449,0.050335731110340946,0.048640623013937484,0.047922863220134976
4.5,0.015420776268200247,0.014798769596330964,0.015420776268200247,0.014798769596330964,0.015186361633112109,0.014582667507526027
5.0,0.004225633852780264,0.004158518638080871,0.004225633852780264,0.004158518638080871,0.004207850138132315,0.004141293618303072
5.5,0.0009841474908628101,0.0009387677542763439,0.0009841474908628101,0.0009387677542763439,0.0009831777792283169,0.0009378865389000788
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.9528380174275021 0.9401901275847856 0.9528380174275021 0.9401901275847856 0.4879053721483113 0.48457571951086265
3 1.5 0.8422567775640827 0.8334997828897687 0.8422567775640827 0.8334997828897687 0.45716999071954484 0.4545953535487172
4 2.0 0.7383668744575732 0.7256752120060378 0.7383668744575732 0.7256752120060378 0.42471648501438575 0.42050449166387727
5 2.5 0.5175637954505531 0.5042699596594334 0.5175637954505531 0.5042699596594334 0.34098021215224916 0.33522400502070726
6 3.0 0.29279074535512545 0.28415353949258165 0.29279074535512545 0.28415353949258165 0.22644880393283623 0.22125906549974955
7 3.5 0.13355419328614057 0.1284287817345289 0.13355419328614057 0.1284287817345289 0.11780429645859114 0.11380133096987233
8 4.0 0.05112766473168449 0.050335731110340946 0.05112766473168449 0.050335731110340946 0.048640623013937484 0.047922863220134976
9 4.5 0.015420776268200247 0.014798769596330964 0.015420776268200247 0.014798769596330964 0.015186361633112109 0.014582667507526027
10 5.0 0.004225633852780264 0.004158518638080871 0.004225633852780264 0.004158518638080871 0.004207850138132315 0.004141293618303072
11 5.5 0.0009841474908628101 0.0009387677542763439 0.0009841474908628101 0.0009387677542763439 0.0009831777792283169 0.0009378865389000788

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.0830632510988255,0.08109872005113965,0.9573238834633103,0.9486799095833224,0.48909011076257286,0.4868254978314121
1.5,0.05830105895981136,0.056637497082749705,0.8731054670874818,0.8579333384796195,0.4661048160730477,0.4617373746523639
2.0,0.036192012442687306,0.035249455716027674,0.7211744961824621,0.7047204576052598,0.4189559091279474,0.4133299034186722
2.5,0.01905799527842282,0.01824911621028824,0.5060903757152146,0.49346110915983793,0.335990994595631,0.33035580889346683
3.0,0.008264100873458743,0.007821426291576696,0.2939754293022234,0.2831780292504792,0.22711972435417807,0.22062414713887799
3.5,0.0028688799007583624,0.0026759426090295496,0.1374098158088172,0.13114342484189576,0.12077151169458053,0.11589169994738724
4.0,0.0008195867839693781,0.0007585455454178229,0.05106510485720696,0.04863591113989717,0.04857899607235325,0.046370856243423186
4.5,0.00020001134077155355,0.00018779268835431717,0.01570823894306717,0.014964044072975698,0.015460344814908456,0.014739785789542726
5.0,4.2503225630632026e-05,4.005851768051991e-05,0.0041863914014332055,0.003998105674473899,0.0041678091723931264,0.003980557056695796
5.5,8.599653311517315e-06,8.139414906188262e-06,0.0010013537125849532,0.0009536854208878186,0.0010000272536774446,0.0009524024473800852
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.0830632510988255 0.08109872005113965 0.9573238834633103 0.9486799095833224 0.48909011076257286 0.4868254978314121
3 1.5 0.05830105895981136 0.056637497082749705 0.8731054670874818 0.8579333384796195 0.4661048160730477 0.4617373746523639
4 2.0 0.036192012442687306 0.035249455716027674 0.7211744961824621 0.7047204576052598 0.4189559091279474 0.4133299034186722
5 2.5 0.01905799527842282 0.01824911621028824 0.5060903757152146 0.49346110915983793 0.335990994595631 0.33035580889346683
6 3.0 0.008264100873458743 0.007821426291576696 0.2939754293022234 0.2831780292504792 0.22711972435417807 0.22062414713887799
7 3.5 0.0028688799007583624 0.0026759426090295496 0.1374098158088172 0.13114342484189576 0.12077151169458053 0.11589169994738724
8 4.0 0.0008195867839693781 0.0007585455454178229 0.05106510485720696 0.04863591113989717 0.04857899607235325 0.046370856243423186
9 4.5 0.00020001134077155355 0.00018779268835431717 0.01570823894306717 0.014964044072975698 0.015460344814908456 0.014739785789542726
10 5.0 4.2503225630632026e-05 4.005851768051991e-05 0.0041863914014332055 0.003998105674473899 0.0041678091723931264 0.003980557056695796
11 5.5 8.599653311517315e-06 8.139414906188262e-06 0.0010013537125849532 0.0009536854208878186 0.0010000272536774446 0.0009524024473800852

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.7518951113861386,0.7518951113861386,1.0,1.0,0.48469387755102045,0.48469387755102045
1.5,0.7512022871033814,0.7509480841837473,1.0,1.0,0.4730717974783026,0.46700551151092345
2.0,0.7484916460396039,0.7484916460396039,1.0,1.0,0.4598930481283422,0.4598930481283422
2.5,0.7492248626489596,0.7480833056678721,1.0,1.0,0.43273648407640114,0.4298528928388184
3.0,0.7497292698019802,0.7497292698019802,1.0,1.0,0.40588235294117647,0.40588235294117647
3.5,0.7524752475247525,0.7524752475247525,1.0,1.0,0.34415584415584416,0.34415584415584416
4.0,0.7549291653081162,0.7516457109295077,1.0,1.0,0.3264057756324775,0.3059102527100409
4.5,0.7526686262376238,0.7526686262376238,1.0,1.0,0.2986111111111111,0.2986111111111111
5.0,0.7470993193069307,0.7470993193069307,1.0,1.0,0.22900763358778625,0.22900763358778625
5.5,0.7501933787128713,0.7501933787128713,1.0,1.0,0.1721311475409836,0.1721311475409836
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.7518951113861386 0.7518951113861386 1.0 1.0 0.48469387755102045 0.48469387755102045
3 1.5 0.7512022871033814 0.7509480841837473 1.0 1.0 0.4730717974783026 0.46700551151092345
4 2.0 0.7484916460396039 0.7484916460396039 1.0 1.0 0.4598930481283422 0.4598930481283422
5 2.5 0.7492248626489596 0.7480833056678721 1.0 1.0 0.43273648407640114 0.4298528928388184
6 3.0 0.7497292698019802 0.7497292698019802 1.0 1.0 0.40588235294117647 0.40588235294117647
7 3.5 0.7524752475247525 0.7524752475247525 1.0 1.0 0.34415584415584416 0.34415584415584416
8 4.0 0.7549291653081162 0.7516457109295077 1.0 1.0 0.3264057756324775 0.3059102527100409
9 4.5 0.7526686262376238 0.7526686262376238 1.0 1.0 0.2986111111111111 0.2986111111111111
10 5.0 0.7470993193069307 0.7470993193069307 1.0 1.0 0.22900763358778625 0.22900763358778625
11 5.5 0.7501933787128713 0.7501933787128713 1.0 1.0 0.1721311475409836 0.1721311475409836

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.09081134720086825,0.08877301827772405,0.9562129396704026,0.9452914223688579,0.4887906908556074,0.4859219670486376
1.5,0.06576572637705162,0.06364658603927949,0.8719000491133844,0.8587626121620551,0.4657495832819376,0.46198253762301955
2.0,0.04248404692154494,0.041239064336039195,0.7211386842081554,0.7076109980333,0.4189417022297711,0.4143417797404677
2.5,0.023540395895846698,0.02278178974629413,0.5096501181886469,0.49629498081483325,0.33753583687259936,0.33160143235764317
3.0,0.01114789550203899,0.010710201043040777,0.29297526632349147,0.28255829266211263,0.22653890919249656,0.2202567586570464
3.5,0.004311123945902796,0.004084260012432722,0.1376906423623633,0.13167766451214755,0.12099020569287723,0.11632267054136443
4.0,0.0013632496451032139,0.0013037179253696752,0.050909661258882515,0.04902227775284531,0.048431628091270634,0.046718845868617076
4.5,0.0003699114553744093,0.00035298611972935947,0.015754968589636795,0.015148439536507978,0.015506043952850004,0.014916380386905057
5.0,8.727688699999695e-05,8.320988492736361e-05,0.004188581684487543,0.003986229523616191,0.004169986366751256,0.00396906497061075
5.5,1.885196236173863e-05,1.7878576498168594e-05,0.0009919892102604668,0.0009449483434183848,0.0009906181872022981,0.0009435992846000528
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.09081134720086825 0.08877301827772405 0.9562129396704026 0.9452914223688579 0.4887906908556074 0.4859219670486376
3 1.5 0.06576572637705162 0.06364658603927949 0.8719000491133844 0.8587626121620551 0.4657495832819376 0.46198253762301955
4 2.0 0.04248404692154494 0.041239064336039195 0.7211386842081554 0.7076109980333 0.4189417022297711 0.4143417797404677
5 2.5 0.023540395895846698 0.02278178974629413 0.5096501181886469 0.49629498081483325 0.33753583687259936 0.33160143235764317
6 3.0 0.01114789550203899 0.010710201043040777 0.29297526632349147 0.28255829266211263 0.22653890919249656 0.2202567586570464
7 3.5 0.004311123945902796 0.004084260012432722 0.1376906423623633 0.13167766451214755 0.12099020569287723 0.11632267054136443
8 4.0 0.0013632496451032139 0.0013037179253696752 0.050909661258882515 0.04902227775284531 0.048431628091270634 0.046718845868617076
9 4.5 0.0003699114553744093 0.00035298611972935947 0.015754968589636795 0.015148439536507978 0.015506043952850004 0.014916380386905057
10 5.0 8.727688699999695e-05 8.320988492736361e-05 0.004188581684487543 0.003986229523616191 0.004169986366751256 0.00396906497061075
11 5.5 1.885196236173863e-05 1.7878576498168594e-05 0.0009919892102604668 0.0009449483434183848 0.0009906181872022981 0.0009435992846000528

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.10166689206859908,0.09988163440626371,0.9561678488331825,0.947870702176861,0.48879713867813845,0.48660436102254323
1.5,0.0765057939200041,0.07432171244288692,0.877019616966569,0.8638913723497376,0.46719376639047216,0.4634362605841318
2.0,0.050029606218242345,0.048225610111067005,0.7189987216566578,0.6995490832875473,0.4182036953620638,0.4115591267491462
2.5,0.029181605995488115,0.0279620667390652,0.5072150812569372,0.48977237117492556,0.3364597118648895,0.32868758887308874
3.0,0.014031130913578547,0.013491829652924848,0.2940322099526643,0.28399344949869376,0.22713058209427672,0.2211315023471901
3.5,0.005552889741420104,0.005323019868842085,0.13736484137134114,0.13198918229034462,0.12073416353363449,0.11655675430431171
4.0,0.001830004161644446,0.0017453410959221373,0.05120101304000168,0.04911533480429966,0.048692641847665405,0.04680127567130753
4.5,0.0005023869862067592,0.00048088646760525305,0.015595753004354914,0.014961002930611414,0.015350698526682551,0.01473591709983655
5.0,0.00012500077048874768,0.00011892875494054416,0.0041923580946805995,0.00400531762672014,0.004173355697729556,0.00398771932930751
5.5,2.7728939734319016e-05,2.6456663173212843e-05,0.000987122421761429,0.000940974789880245,0.0009856264111752998,0.0009397491464267439
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.10166689206859908 0.09988163440626371 0.9561678488331825 0.947870702176861 0.48879713867813845 0.48660436102254323
3 1.5 0.0765057939200041 0.07432171244288692 0.877019616966569 0.8638913723497376 0.46719376639047216 0.4634362605841318
4 2.0 0.050029606218242345 0.048225610111067005 0.7189987216566578 0.6995490832875473 0.4182036953620638 0.4115591267491462
5 2.5 0.029181605995488115 0.0279620667390652 0.5072150812569372 0.48977237117492556 0.3364597118648895 0.32868758887308874
6 3.0 0.014031130913578547 0.013491829652924848 0.2940322099526643 0.28399344949869376 0.22713058209427672 0.2211315023471901
7 3.5 0.005552889741420104 0.005323019868842085 0.13736484137134114 0.13198918229034462 0.12073416353363449 0.11655675430431171
8 4.0 0.001830004161644446 0.0017453410959221373 0.05120101304000168 0.04911533480429966 0.048692641847665405 0.04680127567130753
9 4.5 0.0005023869862067592 0.00048088646760525305 0.015595753004354914 0.014961002930611414 0.015350698526682551 0.01473591709983655
10 5.0 0.00012500077048874768 0.00011892875494054416 0.0041923580946805995 0.00400531762672014 0.004173355697729556 0.00398771932930751
11 5.5 2.7728939734319016e-05 2.6456663173212843e-05 0.000987122421761429 0.000940974789880245 0.0009856264111752998 0.0009397491464267439

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@@ -0,0 +1,12 @@
SNR list_size_mean list_size_std list_size_max list_size_min list_size_size
1.0 1.0 0.0 1 1 1519
1.5 1.0 0.0 1 1 3669
2.0 1.0 0.0 1 1 6904
2.5 1.0 0.0 1 1 9815
3.0 1.0 0.0 1 1 10824
3.5 1.0 0.0 1 1 9050
4.0 1.0 0.0 1 1 5959
4.5 1.0 0.0 1 1 3195
5.0 1.0 0.0 1 1 1398
5.5 1.0 0.0 1 1 548
1 SNR list_size_mean list_size_std list_size_max list_size_min list_size_size
2 1.0 1.0 0.0 1 1 1519
3 1.5 1.0 0.0 1 1 3669
4 2.0 1.0 0.0 1 1 6904
5 2.5 1.0 0.0 1 1 9815
6 3.0 1.0 0.0 1 1 10824
7 3.5 1.0 0.0 1 1 9050
8 4.0 1.0 0.0 1 1 5959
9 4.5 1.0 0.0 1 1 3195
10 5.0 1.0 0.0 1 1 1398
11 5.5 1.0 0.0 1 1 548

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SNR,diff_mean_BER,diff_mean_FER
1.0,-0.011585245215334897,0.002805187400140019
1.5,-0.010969211895505135,0.0007907811328795589
2.0,-0.009286838788863348,-0.0014094582397135014
2.5,-0.006748737385426751,-0.004976678300929849
3.0,-0.004328182004312252,0.0013100312729153463
3.5,-0.0021464027468460004,-0.0005479463886720048
4.0,-0.0008162490511097998,-3.773970814970051e-05
4.5,-0.0002524968302904,-0.0001389273783357521
5.0,-6.634934499278676e-05,3.7477923745506472e-06
5.5,-1.5121889846211483e-05,1.3733041059249898e-05
1 SNR diff_mean_BER diff_mean_FER
2 1.0 -0.011585245215334897 0.002805187400140019
3 1.5 -0.010969211895505135 0.0007907811328795589
4 2.0 -0.009286838788863348 -0.0014094582397135014
5 2.5 -0.006748737385426751 -0.004976678300929849
6 3.0 -0.004328182004312252 0.0013100312729153463
7 3.5 -0.0021464027468460004 -0.0005479463886720048
8 4.0 -0.0008162490511097998 -3.773970814970051e-05
9 4.5 -0.0002524968302904 -0.0001389273783357521
10 5.0 -6.634934499278676e-05 3.7477923745506472e-06
11 5.5 -1.5121889846211483e-05 1.3733041059249898e-05

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@@ -0,0 +1,11 @@
SNR,list_size_mean,list_size_std,list_size_max,list_size_min,list_size_size
1.0,1.0,0.0,1,1,1484
1.5,1.0,0.0,1,1,3662
2.0,1.0,0.0,1,1,7009
2.5,1.0,0.0,1,1,9799
3.0,1.0,0.0,1,1,10729
3.5,1.0,0.0,1,1,9131
4.0,1.0,0.0,1,1,6041
4.5,1.0,0.0,1,1,3275
5.0,1.0,0.0,1,1,1466
5.5,1.0,0.0,1,1,545
1 SNR list_size_mean list_size_std list_size_max list_size_min list_size_size
2 1.0 1.0 0.0 1 1 1484
3 1.5 1.0 0.0 1 1 3662
4 2.0 1.0 0.0 1 1 7009
5 2.5 1.0 0.0 1 1 9799
6 3.0 1.0 0.0 1 1 10729
7 3.5 1.0 0.0 1 1 9131
8 4.0 1.0 0.0 1 1 6041
9 4.5 1.0 0.0 1 1 3275
10 5.0 1.0 0.0 1 1 1466
11 5.5 1.0 0.0 1 1 545

205
res/new_stuff/p_error.csv Normal file
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@@ -0,0 +1,205 @@
index,p_error
0,6.78e-06
1,6.68e-06
2,5.82e-06
3,1.37e-06
4,5.7e-07
5,2.9e-07
6,1.6e-07
7,1.3e-07
8,1.3e-07
9,7e-08
10,6e-08
11,7e-08
12,3e-08
13,2e-08
14,1e-08
15,5e-08
16,4e-08
17,0.0
18,1e-08
19,2e-08
20,2e-08
21,1e-08
22,2e-08
23,0.0
24,1e-08
25,5e-08
26,2e-08
27,1e-08
28,2e-08
29,0.0
30,1e-08
31,1e-08
32,1e-08
33,3e-08
34,0.0
35,1e-08
36,2e-08
37,1e-08
38,0.0
39,0.0
40,1e-08
41,1e-08
42,2e-08
43,0.0
44,1e-08
45,0.0
46,0.0
47,1e-08
48,0.0
49,0.0
50,0.0
51,1e-08
52,0.0
53,1e-08
54,0.0
55,0.0
56,0.0
57,0.0
58,0.0
59,0.0
60,1e-08
61,0.0
62,0.0
63,0.0
64,0.0
65,0.0
66,0.0
67,1e-08
68,0.0
69,2e-08
70,0.0
71,0.0
72,1e-08
73,0.0
74,0.0
75,0.0
76,0.0
77,0.0
78,0.0
79,0.0
80,0.0
81,0.0
82,0.0
83,0.0
84,0.0
85,0.0
86,0.0
87,0.0
88,0.0
89,2e-08
90,0.0
91,0.0
92,0.0
93,0.0
94,1e-08
95,0.0
96,0.0
97,0.0
98,0.0
99,0.0
100,1e-08
101,0.0
102,0.0
103,0.0
104,0.0
105,0.0
106,0.0
107,0.0
108,0.0
109,0.0
110,0.0
111,0.0
112,1e-08
113,1e-08
114,0.0
115,0.0
116,2e-08
117,0.0
118,0.0
119,0.0
120,0.0
121,0.0
122,0.0
123,1e-08
124,0.0
125,0.0
126,0.0
127,0.0
128,0.0
129,0.0
130,0.0
131,0.0
132,0.0
133,0.0
134,0.0
135,0.0
136,0.0
137,0.0
138,0.0
139,0.0
140,0.0
141,0.0
142,0.0
143,0.0
144,0.0
145,0.0
146,0.0
147,0.0
148,0.0
149,0.0
150,0.0
151,0.0
152,0.0
153,0.0
154,0.0
155,0.0
156,1e-08
157,0.0
158,1e-08
159,0.0
160,0.0
161,0.0
162,0.0
163,0.0
164,0.0
165,0.0
166,0.0
167,0.0
168,0.0
169,0.0
170,0.0
171,0.0
172,0.0
173,0.0
174,0.0
175,0.0
176,0.0
177,0.0
178,0.0
179,0.0
180,0.0
181,0.0
182,0.0
183,0.0
184,0.0
185,0.0
186,0.0
187,1e-08
188,0.0
189,0.0
190,0.0
191,0.0
192,0.0
193,0.0
194,0.0
195,0.0
196,0.0
197,0.0
198,0.0
199,0.0
200,0.0
201,0.0
202,0.0
203,1e-08
1 index p_error
2 0 6.78e-06
3 1 6.68e-06
4 2 5.82e-06
5 3 1.37e-06
6 4 5.7e-07
7 5 2.9e-07
8 6 1.6e-07
9 7 1.3e-07
10 8 1.3e-07
11 9 7e-08
12 10 6e-08
13 11 7e-08
14 12 3e-08
15 13 2e-08
16 14 1e-08
17 15 5e-08
18 16 4e-08
19 17 0.0
20 18 1e-08
21 19 2e-08
22 20 2e-08
23 21 1e-08
24 22 2e-08
25 23 0.0
26 24 1e-08
27 25 5e-08
28 26 2e-08
29 27 1e-08
30 28 2e-08
31 29 0.0
32 30 1e-08
33 31 1e-08
34 32 1e-08
35 33 3e-08
36 34 0.0
37 35 1e-08
38 36 2e-08
39 37 1e-08
40 38 0.0
41 39 0.0
42 40 1e-08
43 41 1e-08
44 42 2e-08
45 43 0.0
46 44 1e-08
47 45 0.0
48 46 0.0
49 47 1e-08
50 48 0.0
51 49 0.0
52 50 0.0
53 51 1e-08
54 52 0.0
55 53 1e-08
56 54 0.0
57 55 0.0
58 56 0.0
59 57 0.0
60 58 0.0
61 59 0.0
62 60 1e-08
63 61 0.0
64 62 0.0
65 63 0.0
66 64 0.0
67 65 0.0
68 66 0.0
69 67 1e-08
70 68 0.0
71 69 2e-08
72 70 0.0
73 71 0.0
74 72 1e-08
75 73 0.0
76 74 0.0
77 75 0.0
78 76 0.0
79 77 0.0
80 78 0.0
81 79 0.0
82 80 0.0
83 81 0.0
84 82 0.0
85 83 0.0
86 84 0.0
87 85 0.0
88 86 0.0
89 87 0.0
90 88 0.0
91 89 2e-08
92 90 0.0
93 91 0.0
94 92 0.0
95 93 0.0
96 94 1e-08
97 95 0.0
98 96 0.0
99 97 0.0
100 98 0.0
101 99 0.0
102 100 1e-08
103 101 0.0
104 102 0.0
105 103 0.0
106 104 0.0
107 105 0.0
108 106 0.0
109 107 0.0
110 108 0.0
111 109 0.0
112 110 0.0
113 111 0.0
114 112 1e-08
115 113 1e-08
116 114 0.0
117 115 0.0
118 116 2e-08
119 117 0.0
120 118 0.0
121 119 0.0
122 120 0.0
123 121 0.0
124 122 0.0
125 123 1e-08
126 124 0.0
127 125 0.0
128 126 0.0
129 127 0.0
130 128 0.0
131 129 0.0
132 130 0.0
133 131 0.0
134 132 0.0
135 133 0.0
136 134 0.0
137 135 0.0
138 136 0.0
139 137 0.0
140 138 0.0
141 139 0.0
142 140 0.0
143 141 0.0
144 142 0.0
145 143 0.0
146 144 0.0
147 145 0.0
148 146 0.0
149 147 0.0
150 148 0.0
151 149 0.0
152 150 0.0
153 151 0.0
154 152 0.0
155 153 0.0
156 154 0.0
157 155 0.0
158 156 1e-08
159 157 0.0
160 158 1e-08
161 159 0.0
162 160 0.0
163 161 0.0
164 162 0.0
165 163 0.0
166 164 0.0
167 165 0.0
168 166 0.0
169 167 0.0
170 168 0.0
171 169 0.0
172 170 0.0
173 171 0.0
174 172 0.0
175 173 0.0
176 174 0.0
177 175 0.0
178 176 0.0
179 177 0.0
180 178 0.0
181 179 0.0
182 180 0.0
183 181 0.0
184 182 0.0
185 183 0.0
186 184 0.0
187 185 0.0
188 186 0.0
189 187 1e-08
190 188 0.0
191 189 0.0
192 190 0.0
193 191 0.0
194 192 0.0
195 193 0.0
196 194 0.0
197 195 0.0
198 196 0.0
199 197 0.0
200 198 0.0
201 199 0.0
202 200 0.0
203 201 0.0
204 202 0.0
205 203 1e-08

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.09680668620258058,0.09452141455220721,0.9715178719749653,0.9619146754713117,0.49276879934430134,0.4902836729930667
1.5,0.07095101754478174,0.06925683486501742,0.9068884722461453,0.8983516729092434,0.4755780495139776,0.4732189786912649
2.0,0.04803550371077123,0.04653664270182639,0.7909635371199303,0.7762376543809452,0.4416132024038134,0.43698384689876124
2.5,0.028741771708312738,0.02750337976982015,0.6134183034441402,0.5949414587587659,0.38013017161360807,0.37294467988713165
3.0,0.014757794292543161,0.014285170466928215,0.4069574603436643,0.39301454124866575,0.289198063594846,0.28207578732645544
3.5,0.006658713328622008,0.006343483120711006,0.2280448524909817,0.2192142561357814,0.18565626752118808,0.17977813696637018
4.0,0.002709735153154826,0.002585295518181166,0.1111174249499398,0.10691598697193457,0.09999131480835136,0.09658037382965415
4.5,0.0009977098220500496,0.000953434511255497,0.04777819016523845,0.04588411774362911,0.045595590938309324,0.04386879549536139
5.0,0.00035157927532323576,0.0003351297855837044,0.01868314278281208,0.017863127510415064,0.01833662680881591,0.017546172000682553
5.5,0.00011632168360520504,0.00011145907199474556,0.006660997685690679,0.006379165994627217,0.006616858012708868,0.006338679273054639
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.09680668620258058 0.09452141455220721 0.9715178719749653 0.9619146754713117 0.49276879934430134 0.4902836729930667
3 1.5 0.07095101754478174 0.06925683486501742 0.9068884722461453 0.8983516729092434 0.4755780495139776 0.4732189786912649
4 2.0 0.04803550371077123 0.04653664270182639 0.7909635371199303 0.7762376543809452 0.4416132024038134 0.43698384689876124
5 2.5 0.028741771708312738 0.02750337976982015 0.6134183034441402 0.5949414587587659 0.38013017161360807 0.37294467988713165
6 3.0 0.014757794292543161 0.014285170466928215 0.4069574603436643 0.39301454124866575 0.289198063594846 0.28207578732645544
7 3.5 0.006658713328622008 0.006343483120711006 0.2280448524909817 0.2192142561357814 0.18565626752118808 0.17977813696637018
8 4.0 0.002709735153154826 0.002585295518181166 0.1111174249499398 0.10691598697193457 0.09999131480835136 0.09658037382965415
9 4.5 0.0009977098220500496 0.000953434511255497 0.04777819016523845 0.04588411774362911 0.045595590938309324 0.04386879549536139
10 5.0 0.00035157927532323576 0.0003351297855837044 0.01868314278281208 0.017863127510415064 0.01833662680881591 0.017546172000682553
11 5.5 0.00011632168360520504 0.00011145907199474556 0.006660997685690679 0.006379165994627217 0.006616858012708868 0.006338679273054639

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@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.09964286217485964,0.09582249346058545,0.9725381349951536,0.9640258171679859,0.4930304609324223,0.4908361765346084
1.5,0.07197146769620098,0.0701195446038856,0.910935998999496,0.8943018120379623,0.4766631099657174,0.4720748069760164
2.0,0.048552855225546025,0.046190088442304746,0.7926168165048454,0.7733503502336271,0.4420703426595684,0.4360863229310879
2.5,0.027826819835489344,0.026356584247061252,0.6077610035944617,0.5882901255965679,0.37795156352470227,0.37031990007934446
3.0,0.01459033139580947,0.013645629831897939,0.40042462413711627,0.3796663633373543,0.2857965780846893,0.27508490560705756
3.5,0.006962374063094883,0.006322742910517653,0.23607377480722788,0.21781910215671454,0.19080755984977135,0.17877501484421018
4.0,0.002832332870359705,0.0026291984615546752,0.1163594504888747,0.10858870342366111,0.10419248810607026,0.09792615025806467
4.5,0.0010738388099383555,0.0009783895805142728,0.05093136156883026,0.04666828336392178,0.04844914369003296,0.044578112925286656
5.0,0.0003579234472894562,0.0003316033294366967,0.01911019951608402,0.017660313270970913,0.018751210725097826,0.01735152582032421
5.5,0.00011414677672921807,0.00010716162723912858,0.006558291129740298,0.006140024778267284,0.006515426561748512,0.006102434526656694
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.09964286217485964 0.09582249346058545 0.9725381349951536 0.9640258171679859 0.4930304609324223 0.4908361765346084
3 1.5 0.07197146769620098 0.0701195446038856 0.910935998999496 0.8943018120379623 0.4766631099657174 0.4720748069760164
4 2.0 0.048552855225546025 0.046190088442304746 0.7926168165048454 0.7733503502336271 0.4420703426595684 0.4360863229310879
5 2.5 0.027826819835489344 0.026356584247061252 0.6077610035944617 0.5882901255965679 0.37795156352470227 0.37031990007934446
6 3.0 0.01459033139580947 0.013645629831897939 0.40042462413711627 0.3796663633373543 0.2857965780846893 0.27508490560705756
7 3.5 0.006962374063094883 0.006322742910517653 0.23607377480722788 0.21781910215671454 0.19080755984977135 0.17877501484421018
8 4.0 0.002832332870359705 0.0026291984615546752 0.1163594504888747 0.10858870342366111 0.10419248810607026 0.09792615025806467
9 4.5 0.0010738388099383555 0.0009783895805142728 0.05093136156883026 0.04666828336392178 0.04844914369003296 0.044578112925286656
10 5.0 0.0003579234472894562 0.0003316033294366967 0.01911019951608402 0.017660313270970913 0.018751210725097826 0.01735152582032421
11 5.5 0.00011414677672921807 0.00010716162723912858 0.006558291129740298 0.006140024778267284 0.006515426561748512 0.006102434526656694

View File

@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.09525360201182871,0.09424171784783518,0.9849389659358622,0.9653770209598268,0.4961826122914694,0.4911453774868132
1.5,0.07072797090790005,0.07011846769641904,0.9022846523257748,0.8865009277781524,0.474290973138446,0.46989213082239795
2.0,0.05028555960166944,0.04855057661676573,0.8058164038133984,0.7851107484253399,0.445712113138357,0.43924245308108667
2.5,0.02992752353968238,0.02923125191809236,0.6391667287194593,0.6145808714738445,0.3898064086294432,0.3805769346444314
3.0,0.015045697511919831,0.014134604667699545,0.4149702178851355,0.3890196892239613,0.2932345139535679,0.27975274634948044
3.5,0.006204957681637722,0.0060148333454333415,0.2040706556443539,0.19864885643511188,0.16947143385158092,0.16571611096140665
4.0,0.002653481147431547,0.0024636707718166204,0.10546000935145333,0.10133589058924386,0.09539081385839278,0.09200245574034994
4.5,0.0010546903936343199,0.0009890117824900922,0.04961363099120288,0.0463967424705272,0.04725712431011586,0.04433835148618934
5.0,0.0003237195277398876,0.0003065538141430916,0.017720484000797586,0.016883233527465895,0.017411101156577163,0.01660282641701705
5.5,0.00010634282915333439,0.00010000280920538312,0.006078439186276759,0.005772831733766474,0.0060416339578304255,0.005739650019889511
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.09525360201182871 0.09424171784783518 0.9849389659358622 0.9653770209598268 0.4961826122914694 0.4911453774868132
3 1.5 0.07072797090790005 0.07011846769641904 0.9022846523257748 0.8865009277781524 0.474290973138446 0.46989213082239795
4 2.0 0.05028555960166944 0.04855057661676573 0.8058164038133984 0.7851107484253399 0.445712113138357 0.43924245308108667
5 2.5 0.02992752353968238 0.02923125191809236 0.6391667287194593 0.6145808714738445 0.3898064086294432 0.3805769346444314
6 3.0 0.015045697511919831 0.014134604667699545 0.4149702178851355 0.3890196892239613 0.2932345139535679 0.27975274634948044
7 3.5 0.006204957681637722 0.0060148333454333415 0.2040706556443539 0.19864885643511188 0.16947143385158092 0.16571611096140665
8 4.0 0.002653481147431547 0.0024636707718166204 0.10546000935145333 0.10133589058924386 0.09539081385839278 0.09200245574034994
9 4.5 0.0010546903936343199 0.0009890117824900922 0.04961363099120288 0.0463967424705272 0.04725712431011586 0.04433835148618934
10 5.0 0.0003237195277398876 0.0003065538141430916 0.017720484000797586 0.016883233527465895 0.017411101156577163 0.01660282641701705
11 5.5 0.00010634282915333439 0.00010000280920538312 0.006078439186276759 0.005772831733766474 0.0060416339578304255 0.005739650019889511

View File

@@ -0,0 +1,11 @@
SNR,max_BER,min_BER,max_FER,min_FER,max_DFR,min_DFR
1.0,0.0967279975423745,0.09586733453541323,0.9748574687996949,0.9690313142942228,0.4936325575362276,0.49213127689827485
1.5,0.07029857177155663,0.06845100003931676,0.9068425019711887,0.8947320184627768,0.4755149067735847,0.4721674297698563
2.0,0.04804317346379875,0.04709183281178785,0.7871778518940883,0.7766502583695983,0.44044162674077847,0.43713105993466506
2.5,0.027709565869569984,0.026672114196320464,0.6014434275746023,0.581448743866255,0.37548052837165663,0.3676049130875138
3.0,0.014315514664187241,0.013852931601733023,0.3965280394085692,0.38758218541872336,0.283883364856731,0.2792685153463242
3.5,0.006817250677759145,0.006534640674454555,0.23190050127653403,0.22492872700760055,0.1882205285585424,0.1835654703516895
4.0,0.0027212933162363093,0.002615443829498171,0.11377548102488251,0.1099201556685694,0.10214514171188241,0.09902611936683836
4.5,0.0010395844282843432,0.0009810446164112603,0.04911723276337511,0.04696903886888379,0.04680931803653589,0.04485074656370891
5.0,0.0003545301542793413,0.000337380722961854,0.018721986763043805,0.01784413958556475,0.018374174383187312,0.017528307350093367
5.5,0.00011838975673058871,0.00011302167577051726,0.0067781616987241606,0.006470490693462912,0.006732455166041253,0.006428827629331017
1 SNR max_BER min_BER max_FER min_FER max_DFR min_DFR
2 1.0 0.0967279975423745 0.09586733453541323 0.9748574687996949 0.9690313142942228 0.4936325575362276 0.49213127689827485
3 1.5 0.07029857177155663 0.06845100003931676 0.9068425019711887 0.8947320184627768 0.4755149067735847 0.4721674297698563
4 2.0 0.04804317346379875 0.04709183281178785 0.7871778518940883 0.7766502583695983 0.44044162674077847 0.43713105993466506
5 2.5 0.027709565869569984 0.026672114196320464 0.6014434275746023 0.581448743866255 0.37548052837165663 0.3676049130875138
6 3.0 0.014315514664187241 0.013852931601733023 0.3965280394085692 0.38758218541872336 0.283883364856731 0.2792685153463242
7 3.5 0.006817250677759145 0.006534640674454555 0.23190050127653403 0.22492872700760055 0.1882205285585424 0.1835654703516895
8 4.0 0.0027212933162363093 0.002615443829498171 0.11377548102488251 0.1099201556685694 0.10214514171188241 0.09902611936683836
9 4.5 0.0010395844282843432 0.0009810446164112603 0.04911723276337511 0.04696903886888379 0.04680931803653589 0.04485074656370891
10 5.0 0.0003545301542793413 0.000337380722961854 0.018721986763043805 0.01784413958556475 0.018374174383187312 0.017528307350093367
11 5.5 0.00011838975673058871 0.00011302167577051726 0.0067781616987241606 0.006470490693462912 0.006732455166041253 0.006428827629331017

View File

@@ -0,0 +1,12 @@
SNR,gamma_0_15,gamma_0_05,gamma_0_01,BP
1,0.3669767287,0.0983527875,0.09440942764,0.06443019397
1.5,0.3669767287,0.07297050292,0.07602178383,0.03398665526
2,0.3669767287,0.04854153852,0.05563899358,0.01257341759
2.5,0.3669767287,0.03099619799,0.03962553082,0.003089064275
3,0.3669767287,0.01635036356,0.02635975022,0.001038700586
3.5,0.3669767287,0.007422688173,0.01572148666,0.0001272453028
4,0.3669767287,0.002980400475,0.008639663866,0
4.5,0.3669767287,0.001044021313,0.004434697304,0
5,0.3669767287,0.0003969287889,0.002126155473,0
5.5,0.3908851459,0.00008863357225,0.0007759378638,0
1 SNR gamma_0_15 gamma_0_05 gamma_0_01 BP
2 1 0.3669767287 0.0983527875 0.09440942764 0.06443019397
3 1.5 0.3669767287 0.07297050292 0.07602178383 0.03398665526
4 2 0.3669767287 0.04854153852 0.05563899358 0.01257341759
5 2.5 0.3669767287 0.03099619799 0.03962553082 0.003089064275
6 3 0.3669767287 0.01635036356 0.02635975022 0.001038700586
7 3.5 0.3669767287 0.007422688173 0.01572148666 0.0001272453028
8 4 0.3669767287 0.002980400475 0.008639663866 0
9 4.5 0.3669767287 0.001044021313 0.004434697304 0
10 5 0.3669767287 0.0003969287889 0.002126155473 0
11 5.5 0.3908851459 0.00008863357225 0.0007759378638 0

View File

@@ -0,0 +1,11 @@
SNR,diff_mean_BER,diff_mean_FER
1.0,-0.027995098147335543,0.0015606383333586216
1.5,-0.0270468426402614,-0.006893166814146312
2.0,-0.0203256709730747,0.004761461684660517
2.5,-0.014980085981453797,0.0007196634507337096
3.0,-0.008602231720793902,-0.00046449077454818744
3.5,-0.0040075484705680495,-0.00037790428674833176
4.0,-0.0015038151529272498,-0.000375620014995956
4.5,-0.00044892253506065007,0.00011400650989430022
5.0,-0.00012193266348805802,-9.57266937044992e-06
5.5,-2.8287910556313992e-05,2.0586606327299955e-05
1 SNR diff_mean_BER diff_mean_FER
2 1.0 -0.027995098147335543 0.0015606383333586216
3 1.5 -0.0270468426402614 -0.006893166814146312
4 2.0 -0.0203256709730747 0.004761461684660517
5 2.5 -0.014980085981453797 0.0007196634507337096
6 3.0 -0.008602231720793902 -0.00046449077454818744
7 3.5 -0.0040075484705680495 -0.00037790428674833176
8 4.0 -0.0015038151529272498 -0.000375620014995956
9 4.5 -0.00044892253506065007 0.00011400650989430022
10 5.0 -0.00012193266348805802 -9.57266937044992e-06
11 5.5 -2.8287910556313992e-05 2.0586606327299955e-05

View File

@@ -754,7 +754,7 @@ return $\boldsymbol{\hat{c}}$
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Visualization of Gradients}
\frametitle{Proximal Decoding: Oscillation of Estimate}
\vspace*{-5mm}
@@ -836,10 +836,10 @@ return $\boldsymbol{\hat{c}}$
\end{frame}
% TODO: Change second figure
% TODO: Maybe add newly simulated second figure
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Improvement}
\frametitle{Proximal Decoding: Oscillation of Estimate}
\vspace*{-3mm}
@@ -847,7 +847,7 @@ return $\boldsymbol{\hat{c}}$
\item Single decoding using a (3,6) regular LDPC code with $n=204, k=102$
\citereference{Mac23, 204.33.484}
\item For larger $n$, the gradient itself starts to oscillate
\item Dynamic range of oscillation highly correlated with probability of bit error
\item Amplitude of oscillation highly correlated with probability of bit error
\end{itemize}
\bigskip
@@ -885,23 +885,20 @@ return $\boldsymbol{\hat{c}}$
\end{subfigure}%
\begin{subfigure}[t]{0.5\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
point meta min = -1,
point meta max = 1,
grid=both,
xlabel={$Var\left( \nabla h\left( \tilde{\boldsymbol{x}} \right) \right) $},
ylabel={Bit error (bool)},
ytick={0, 1},
ylabel=$P(\hat{c}_{i'} \ne c_{i'})$,
xlabel=$i'$,
ymode=log,
ymin=8e-9,ymax=1e-5,
xmin=0,xmax=200,
width=0.85\textwidth,
height=0.4\textwidth,
scale only axis,
% colormap/viridis,
]
\addplot [KITorange, only marks,]
table [col sep=comma, x=grad_h_vars, y=bit_error]
{res/proximal/extreme_components_20433484_variance.csv};
\addplot+ [scol0, mark=none, line width=1]
table [col sep=comma, y=p_error]{res/new_stuff/p_error.csv};
\end{axis}
\end{tikzpicture}
\end{subfigure}
@@ -1028,7 +1025,7 @@ return $\boldsymbol{\hat{c}}$
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t, fragile]
\frametitle{Proximal Decoding: Improvement}
\frametitle{Improved Algorithm}
\vspace*{-0.5cm}
@@ -1080,8 +1077,8 @@ for $K$ iterations do
end for
$\textcolor{KITblue}{\text{Find }N\text{ most probably wrong bits}}$
$\textcolor{KITblue}{\text{Generate variations } \boldsymbol{\hat{c}}_l\text{ of }\boldsymbol{\hat{c}}\text{ with }N\text{ bits modified}}$
$\textcolor{KITblue}{\text{Compute }d_H\left( \boldsymbol{ \hat{c}}_l, \boldsymbol{\hat{c}} \right) \text{ for all valid codewords } \boldsymbol{\hat{c}}_l}$
$\textcolor{KITblue}{\textbf{return }\boldsymbol{\hat{c}}_l\text{ with lowest }d_H\left( \boldsymbol{ \hat{c}}_l, \boldsymbol{\hat{c}} \right)}$
$\textcolor{KITblue}{\text{Compute }\boldsymbol{y}^\text{T}\boldsymbol{ \hat{c}}_l \text{ for all codewords } \boldsymbol{\hat{c}}_l}$
$\textcolor{KITblue}{\textbf{return }\boldsymbol{\hat{c}}_l\text{ with highest }\boldsymbol{y}^\text{T}\boldsymbol{ \hat{c}}_l \text{, prioritizing valid codewords}}$
\end{algorithm}
\end{figure}
\end{minipage}
@@ -1089,7 +1086,7 @@ $\textcolor{KITblue}{\textbf{return }\boldsymbol{\hat{c}}_l\text{ with lowest }d
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Improvement}
\frametitle{Improved Algorithm}
\vspace{-0.6cm}
@@ -1202,441 +1199,230 @@ $\textcolor{KITblue}{\textbf{return }\boldsymbol{\hat{c}}_l\text{ with lowest }d
Jan. 2023. URL: \url{http://www.inference.org.uk/mackay/codes/data.html}.}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}
\frametitle{Improved Algorithm: Effect of parameter $N$}
\vspace*{-5mm}
\begin{itemize}
\item (3,6) regular LDPC code with $n=204, k=102$ \citereference{Mac23, 204.33.484}
\item Chosen parameters: $\gamma = 0.05$
\end{itemize}
\smallskip
\begin{figure}[H]
\centering
\begin{tikzpicture}
\begin{axis}[ymode=log,
xlabel={$E_b / N_0$ (dB)},
ylabel={FER},
legend pos=outer north east,
width=0.45\textwidth,
height=0.3375\textwidth,
legend cell align={left}, grid,
]
\addplot[scol3, line width=1pt]
table [col sep=comma, discard if not={gamma}{0.05},
x = SNR, y=FER] {res/new_stuff/2d_ber_fer_dfr_20433484_abs_N_4.csv};
\addlegendentry{$N=4$}
\addplot[KITorange, line width=1pt]
table [col sep=comma, discard if not={gamma}{0.05},
x = SNR, y=FER] {res/new_stuff/2d_ber_fer_dfr_20433484_abs_N_6.csv};
\addlegendentry{$N=6$}
\addplot[scol2, line width=1pt]
table [col sep=comma, discard if not={gamma}{0.05},
x = SNR, y=FER] {res/new_stuff/2d_ber_fer_dfr_20433484_abs_N_8.csv};
\addlegendentry{$N=8$}
\addplot[scol1, line width=1pt]
table [col sep=comma, discard if not={gamma}{0.05},
x = SNR, y=FER] {res/new_stuff/2d_ber_fer_dfr_20433484_abs_N_10.csv};
\addlegendentry{$N=10$}
\addplot[scol0, line width=1pt]
table [col sep=comma, discard if not={gamma}{0.05},
x = SNR, y=FER] {res/new_stuff/2d_ber_fer_dfr_20433484_abs.csv};
\addlegendentry{$N=12$}
\end{axis}
\end{tikzpicture}
\end{figure}%
\addreference{Mac23}{David J.C. MacKay: \emph{Encyclopedia of Sparse Graph Codes}.
Jan. 2023. URL: \url{http://www.inference.org.uk/mackay/codes/data.html}.}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t]
% \frametitle{Proximal Decoding: Improvement using \\``ML-in-the-List''}
%
% \vspace{-0.5cm}
%
% \begin{itemize}
% \item Comparison of proximal \& improved (correction of $N = \SI{12}{\bit}$)
% decoding simulation%
% \footnote{(3,6) regular LDPC code with $n=204, k=102$
% \cite[Code: 204.33.484]{mackay_enc}}
% results
% \end{itemize}
%
% \begin{figure}[H]
% \centering
%
% \begin{tikzpicture}
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={BER},
% ymode=log,
% legend columns=2,
% legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=3e-8,
% width=0.33\textwidth,
% height=0.28\textwidth,
% ]
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \begin{tikzpicture}
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=2,
% legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=3e-8,
% width=0.33\textwidth,
% height=0.28\textwidth,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \begin{tikzpicture}
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={Decoding Failure Rate},
% ymode=log,
% legend columns=2,
% legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=3e-8,
% width=0.33\textwidth,
% height=0.28\textwidth,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \begin{tikzpicture}
% \begin{axis}[hide axis,
% xmin=10, xmax=50,
% ymin=0, ymax=0.4,
% legend columns=3,
% legend style={draw=white!15!black,legend cell align=left}]
% \addlegendimage{ForestGreen, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.15$}
%
% \addlegendimage{NavyBlue, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.01$}
%
% \addlegendimage{RedOrange, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.05$}
%
% \addlegendimage{Emerald, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.15$}
%
% \addlegendimage{RoyalPurple, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.01$}
%
% \addlegendimage{red, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.05$}
% \end{axis}
% \end{tikzpicture}
%
% \caption{Simulation results for $\gamma = 0.05, \omega = 0.05, K=200, N=12$}
% \label{fig:simulation_results_hybrid}
% \end{figure}
%\end{frame}
\begin{frame}[fragile]
\frametitle{Improved Algorithm: List Choice Policy}
\vspace*{-5mm}
\begin{itemize}
\item (3,6) regular LDPC code with $n=204, k=102$ \citereference{Mac23, 204.33.484}
\item Chosen parameters: $N=8, \gamma = 0.05$
\end{itemize}
\vspace*{-5mm}
\begin{figure}
\centering
\begin{subfigure}[c]{0.66\textwidth}
\centering
\begin{tikzpicture}
\begin{axis}[
grid=both, grid style={line width=.1pt},
xlabel={$E_b / N_0$ (dB)},
ylabel={BER (\lineintext{}), FER (\lineintext{dashed})},
ymode=log,
legend cell align={left},
legend pos={outer north east},
width=0.68\textwidth,
height=0.51\textwidth,
ymax=1.2, ymin=0.8e-4,
xtick={1, 2, ..., 5},
xmin=0.9, xmax=5.6,
legend columns=1,
]
%
% Proximal
%
\addplot[name path=maxBER1, mark=none, scol0]
table[col sep=comma, x=SNR, y=max_BER]
{res/new_stuff/proximal.csv};
\addplot[name path=minBER1, mark=none, scol0, forget plot]
table[col sep=comma, x=SNR, y=min_BER]
{res/new_stuff/proximal.csv};
\addplot[scol0!50, forget plot] fill between[of=minBER1 and maxBER1];
\addplot[name path=maxFER1, mark=none, scol0, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=max_FER]
{res/new_stuff/proximal.csv};
\addplot[name path=minFER1, mark=none, scol0, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=min_FER]
{res/new_stuff/proximal.csv};
\addplot[scol0!50, forget plot] fill between[of=minFER1 and maxFER1];
\addlegendentry{Proximal}
%
% Improved Random
%
\addplot[name path=maxBER2, mark=none, scol1]
table[col sep=comma, x=SNR, y=max_BER]
{res/new_stuff/improved_random.csv};
\addplot[name path=minBER2, mark=none, scol1, forget plot]
table[col sep=comma, x=SNR, y=min_BER]
{res/new_stuff/improved_random.csv};
\addplot[scol1!50, forget plot] fill between[of=minBER2 and maxBER2];
\addplot[name path=maxFER2, mark=none, scol1, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=max_FER]
{res/new_stuff/improved_random.csv};
\addplot[name path=minFER2, mark=none, scol1, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=min_FER]
{res/new_stuff/improved_random.csv};
% \addplot[only marks, scol0, forget plot]
% table[col sep=comma, x=SNR, y=min_DFR]
% {res/new_stuff/improved_random.csv};
\addplot[scol1!50, forget plot] fill between[of=minFER2 and maxFER2];
\addlegendentry{Improved: Random}
%
% Improved ML
%
\addplot[name path=maxBER4, mark=none, scol2]
table[col sep=comma, x=SNR, y=max_BER]
{res/new_stuff/improved_ml.csv};
\addplot[name path=minBER4, mark=none, scol2, forget plot]
table[col sep=comma, x=SNR, y=min_BER]
{res/new_stuff/improved_ml.csv};
\addplot[scol2!50, forget plot] fill between[of=minBER4 and maxBER4];
\addplot[name path=maxFER4, mark=none, scol2, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=max_FER]
{res/new_stuff/improved_ml.csv};
\addplot[name path=minFER4, mark=none, scol2, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=min_FER]
{res/new_stuff/improved_ml.csv};
\addplot[scol2!50, forget plot] fill between[of=minFER4 and maxFER4];
\addlegendentry{Improved: ML}
%
% Improved Hamming
%
\addplot[name path=maxBER3, mark=none, KITorange]
table[col sep=comma, x=SNR, y=max_BER]
{res/new_stuff/improved_hamming.csv};
\addplot[name path=minBER3, mark=none, KITorange, forget plot]
table[col sep=comma, x=SNR, y=min_BER]
{res/new_stuff/improved_hamming.csv};
\addplot[KITorange!50, forget plot] fill between[of=minBER3 and maxBER3];
\addplot[name path=maxFER3, mark=none, KITorange, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=max_FER]
{res/new_stuff/improved_hamming.csv};
\addplot[name path=minFER3, mark=none, KITorange, densely dashed, forget plot]
table[col sep=comma, x=SNR, y=min_FER]
{res/new_stuff/improved_hamming.csv};
\addplot[KITorange!50, forget plot] fill between[of=minFER3 and maxFER3];
\addlegendentry{Improved: Hamming}
\end{axis}
\end{tikzpicture}
%\caption{Comparison of FER and BER of the improved algorithm for
% different list choice policies.}
\end{subfigure}%
\begin{subfigure}[c]{0.33\textwidth}
\centering
\begin{tabular}{c c c c c c}
$E_b/N_0$ & \shortstack{list size\\ mean} & \shortstack{list size\\ var.} \\
\hline
1.0 & 1.0 & 0.0 \\
1.5 & 1.0 & 0.0 \\
2.0 & 1.0 & 0.0 \\
2.5 & 1.0 & 0.0 \\
3.0 & 1.0 & 0.0 \\
3.5 & 1.0 & 0.0 \\
4.0 & 1.0 & 0.0 \\
4.5 & 1.0 & 0.0 \\
5.0 & 1.0 & 0.0 \\
5.5 & 1.0 & 0.0
\end{tabular}
\caption{List size statistics for successful decodings (no frame error).}
\end{subfigure}
\end{figure}
\addreference{Mac23}{David J.C. MacKay: \emph{Encyclopedia of Sparse Graph Codes}.
Jan. 2023. URL: \url{http://www.inference.org.uk/mackay/codes/data.html}.}
\end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%\begin{frame}[t]
% \frametitle{Proximal Decoding: Improvement}
%
% \begin{minipage}[c]{0.9\textwidth}
% \centering
% \begin{figure}[H]
% \vspace*{-0.6cm}
% \hspace*{-0.7cm}
% \centering
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
%
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_963965.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_963965.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=96, k=48$ \cite[\text{96.3.965}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% xmin=0.5, xmax=6, xtick={1, ..., 5},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid,]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.15},
% discard if gt={SNR}{5.5},]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.15},
% discard if gt={SNR}{5.5},]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.01},
% discard if gt={SNR}{5.5},]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.01},
% discard if gt={SNR}{5.5},]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.05},
% discard if gt={SNR}{5.5},]
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma,
% discard if not={gamma}{0.05},
% discard if gt={SNR}{5.5},]
% {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.33.484}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_40833844.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_40833844.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_40833844.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_40833844.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 3, 6 \right)$-regular LDPC code with $n=408, k=204$ \cite[\text{408.33.844}]{mackay_enc}}
% \end{subfigure}
% \hspace*{-0.7cm}
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_bch_31_26.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_bch_31_26.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_bch_31_26.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{BCH code with $n=31, k=26$\\[\baselineskip]}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% %legend columns=2,
% %legend style={at={(0.5,-0.45)},anchor=south},
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_20455187.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_20455187.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_20455187.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_20455187.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{$\left( 5, 10 \right)$-regular LDPC code with $n=204, k=102$ \cite[\text{204.55.187}]{mackay_enc}}
% \end{subfigure}%
% \begin{subfigure}[c]{0.33\textwidth}
% \centering
% \begin{tikzpicture}[scale=0.4]
% \begin{axis}[
% grid=both,
% xlabel={$E_b / N_0$}, ylabel={FER},
% ymode=log,
% legend columns=1,
% legend pos=outer north east,
% ymax=1.5, ymin=8e-5,
% ]
%
% \addplot[ForestGreen, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot[Emerald, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
% {res/hybrid/2d_ber_fer_dfr_pegreg252x504.csv};
%
% \addplot[NavyBlue, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot[RoyalPurple, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
% {res/hybrid/2d_ber_fer_dfr_pegreg252x504.csv};
%
% \addplot[RedOrange, mark=*, solid]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
% \addplot[red, mark=triangle, densely dashed]
% table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/hybrid/2d_ber_fer_dfr_pegreg252x504.csv};
% \end{axis}
% \end{tikzpicture}
% \caption{LDPC code (progressive edge growth construction) with $n=504, k=252$ \cite[\text{PEGReg252x504}]{mackay_enc}}
% \end{subfigure}%
% \end{figure}
% \end{minipage}%
% \begin{minipage}[c]{0.1\textwidth}
% \centering
%
% \begin{figure}
% \vspace*{-1.5cm}
% \hspace*{-0.7cm}
% \centering
% \begin{tikzpicture}[scale=0.7]
% \begin{axis}[hide axis,
% xmin=10, xmax=50,
% ymin=0, ymax=0.4,
% legend style={draw=white!15!black,legend cell align=left}]
% \addlegendimage{ForestGreen, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.15$}
%
% \addlegendimage{Emerald, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.15$}
%
% \addlegendimage{NavyBlue, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.01$}
%
% \addlegendimage{RoyalPurple, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.01$}
%
% \addlegendimage{RedOrange, mark=*, solid}
% \addlegendentry{proximal, $\gamma = 0.05$}
%
% \addlegendimage{red, mark=triangle, densely dashed}
% \addlegendentry{improved, $\gamma = 0.05$}
% \end{axis}
% \end{tikzpicture}
%
% \end{figure}
% \end{minipage}
%\end{frame}