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Moved *_proximal* to proximal/* (+ same thing for hybrid)

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This commit is contained in:
Andreas Tsouchlos 2023-01-25 01:28:47 +01:00
parent 30033bd0f1
commit cca2ec8e82
36 changed files with 580 additions and 323 deletions
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239
latex/presentations/midterm/res/2d_ber_fer_dfr_20433484_proximal.csv
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@ -1,239 +0,0 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.0,0.13016889924286545,1.0,0.5,101.0
1.5,0.0,0.11390992040380508,1.0,0.5,101.0
2.0,0.0,0.10430013589594253,1.0,0.5,101.0
2.5,0.0,0.09017666472529606,1.0,0.5,101.0
3.0,0.0,0.08182877111240536,1.0,0.5,101.0
3.5,0.0,0.06887012230634829,1.0,0.5,101.0
4.0,0.0,0.057173364395263056,1.0,0.5,101.0
4.5,0.0,0.04610755193166376,1.0,0.5,101.0
5.0,0.0,0.03601242477188896,1.0,0.5,101.0
5.5,0.0,0.03195886197616302,0.9901960784313726,0.4975369458128079,102.0
6.0,0.0,0.02397592700446515,1.0,0.5,101.0
6.5,0.0,0.017445213379469436,0.9901960784313726,0.4975369458128079,102.0
7.0,0.0,0.01270053475935829,0.9181818181818182,0.4786729857819905,110.0
7.5,0.0,0.007798573975044563,0.7651515151515151,0.4334763948497854,132.0
1.0,0.01,0.09410794020578528,1.0,0.5,101.0
1.5,0.01,0.06997308727412534,0.9901960784313726,0.4975369458128079,102.0
2.0,0.01,0.05644393679802018,0.9805825242718447,0.4950980392156863,103.0
2.5,0.01,0.03820780648708082,0.9439252336448598,0.4855769230769231,107.0
3.0,0.01,0.025490196078431372,0.9181818181818182,0.4786729857819905,110.0
3.5,0.01,0.014961954931226222,0.753731343283582,0.4297872340425532,134.0
4.0,0.01,0.007832183152590644,0.5642458100558659,0.3607142857142857,179.0
4.5,0.01,0.003332051774958349,0.3300653594771242,0.24815724815724816,306.0
5.0,0.01,0.0017192128650021159,0.18165467625899281,0.1537290715372907,556.0
5.5,0.01,0.0007640035685135623,0.09777347531461762,0.0890652557319224,1033.0
6.0,0.01,0.0002406292110111927,0.03541374474053296,0.03420250592617677,2852.0
6.5,0.01,9.533468559837728e-05,0.013931034482758621,0.01373962726159706,7250.0
7.0,0.01,2.8408296271432968e-05,0.004502496433666191,0.004482314827142413,22432.0
7.5,0.01,7.857008939650586e-06,0.001395567346487592,0.0013936224524995515,72372.0
1.0,0.02,0.09030180699730873,0.9901960784313726,0.4975369458128079,102.0
1.5,0.02,0.06522331154684095,0.9351851851851852,0.48325358851674644,108.0
2.0,0.02,0.049919050188882895,0.926605504587156,0.48095238095238096,109.0
2.5,0.02,0.028994576554025864,0.7163120567375887,0.41735537190082644,141.0
3.0,0.02,0.01815435476516188,0.5872093023255814,0.36996336996337,172.0
3.5,0.02,0.009278711484593838,0.4007936507936508,0.28611898016997167,252.0
4.0,0.02,0.003515158519203359,0.19842829076620824,0.16557377049180327,509.0
4.5,0.02,0.0013487523022509087,0.08395677472984206,0.07745398773006135,1203.0
5.0,0.02,0.0004013143719026072,0.027747252747252746,0.026998128842555466,3640.0
5.5,0.02,0.00016504731356322146,0.011449948985375808,0.011320331764178435,8821.0
6.0,0.02,4.437431042911285e-05,0.0030375026314998044,0.0030283041496761815,33251.0
6.5,0.02,1.2192094202770043e-05,0.000845811141258835,0.0008450963493511167,119412.0
7.0,0.02,2.764705882352941e-06,0.000196,0.0001959615915280605,500000.0
7.5,0.02,6.96078431372549e-07,4.8e-05,4.799769611058669e-05,500000.0
1.0,0.03,0.09037692747001713,0.9805825242718447,0.4950980392156863,103.0
1.5,0.03,0.06437619295505813,0.8938053097345132,0.4719626168224299,113.0
2.0,0.03,0.04964273845131273,0.8559322033898306,0.4611872146118721,118.0
2.5,0.03,0.026193913148081317,0.6196319018404908,0.38257575757575757,163.0
3.0,0.03,0.01603641456582633,0.48095238095238096,0.3247588424437299,210.0
3.5,0.03,0.007452113793494276,0.29190751445086704,0.22595078299776286,346.0
4.0,0.03,0.0028573605608046325,0.13082901554404144,0.1156930126002291,772.0
4.5,0.03,0.0010247036667774454,0.05706214689265537,0.053981827899518976,1770.0
5.0,0.03,0.0003044266400985235,0.017819336626676077,0.01750736696134512,5668.0
5.5,0.03,0.00012169749196725593,0.007310364794441228,0.007257311202126895,13816.0
6.0,0.03,3.56236823804658e-05,0.0020911406033251208,0.002086776859504132,48299.0
6.5,0.03,1.0374588367264038e-05,0.0006638447786307709,0.0006634043810962593,152144.0
7.0,0.03,2.3627450980392157e-06,0.000152,0.0001519768995112743,500000.0
7.5,0.03,5.196078431372548e-07,3.4e-05,3.3998844039302665e-05,500000.0
1.0,0.04,0.09207362190159082,0.9528301886792453,0.48792270531400966,106.0
1.5,0.04,0.06675191815856778,0.8782608695652174,0.4675925925925926,115.0
2.0,0.04,0.04750233426704015,0.8015873015873016,0.44493392070484583,126.0
2.5,0.04,0.026018099547511313,0.5976331360946746,0.37407407407407406,169.0
3.0,0.04,0.012881896944824441,0.39147286821705424,0.28133704735376047,258.0
3.5,0.04,0.0065840061514802,0.24754901960784315,0.19842829076620824,408.0
4.0,0.04,0.0026100649280614337,0.1111111111111111,0.1,909.0
4.5,0.04,0.0009278379283402166,0.04791271347248577,0.045722046174739704,2108.0
5.0,0.04,0.0002976899261728983,0.016356275303643725,0.016093052899936264,6175.0
5.5,0.04,0.00011358050437191844,0.006394023803494555,0.0063534000125809904,15796.0
6.0,0.04,4.008014206588538e-05,0.0023460546793338134,0.0023405635891731555,43051.0
6.5,0.04,1.0293767220940665e-05,0.0006446589052287582,0.000644243587862706,156672.0
7.0,0.04,2.450980392156863e-06,0.000154,0.00015397628765170164,500000.0
7.5,0.04,6.176470588235294e-07,4e-05,3.999840006399744e-05,500000.0
1.0,0.05,0.0947558268590455,0.9528301886792453,0.48792270531400966,106.0
1.5,0.05,0.06581415174765558,0.8782608695652174,0.4675925925925926,115.0
2.0,0.05,0.047244094488188976,0.7952755905511811,0.44298245614035087,127.0
2.5,0.05,0.02558940242763772,0.6011904761904762,0.3754646840148699,168.0
3.0,0.05,0.012649629140045532,0.3782771535580524,0.27445652173913043,267.0
3.5,0.05,0.00588833094213295,0.20528455284552846,0.1703204047217538,492.0
4.0,0.05,0.002538604818842757,0.10316649642492338,0.09351851851851851,979.0
4.5,0.05,0.0009202565784678184,0.046933085501858735,0.044829116733244564,2152.0
5.0,0.05,0.0002940220301384533,0.01641742522756827,0.01615224692147769,6152.0
5.5,0.05,0.00011692575119219662,0.006564409203171715,0.006521598760250533,15386.0
6.0,0.05,3.577639534879112e-05,0.002041930331763136,0.0020377693487208456,49463.0
6.5,0.05,1.0852103196792829e-05,0.0006775658614143013,0.0006771070767745569,149063.0
7.0,0.05,2.3725490196078433e-06,0.00015,0.00014997750337449384,500000.0
7.5,0.05,6.568627450980392e-07,4.2e-05,4.199823607408489e-05,500000.0
1.0,0.06,0.0957732149463559,0.9528301886792453,0.48792270531400966,106.0
1.5,0.06,0.06699346405228758,0.8632478632478633,0.463302752293578,117.0
2.0,0.06,0.05048633626679018,0.7952755905511811,0.44298245614035087,127.0
2.5,0.06,0.026059274284426413,0.5804597701149425,0.36727272727272725,174.0
3.0,0.06,0.012814863773224645,0.3782771535580524,0.27445652173913043,267.0
3.5,0.06,0.006304073735924525,0.22394678492239467,0.18297101449275363,451.0
4.0,0.06,0.0025645685668706205,0.10401647785787847,0.09421641791044776,971.0
4.5,0.06,0.0008676426545460951,0.04537286612758311,0.04340352385045122,2226.0
5.0,0.06,0.0003190777623385312,0.017672790901137356,0.01736588720770289,5715.0
5.5,0.06,0.00012802567341504216,0.00732733604178758,0.00727403673028448,13784.0
6.0,0.06,3.7053184014162366e-05,0.0021265844106623994,0.0021220716461813217,47494.0
6.5,0.06,1.0274078481140562e-05,0.0006473612019125999,0.00064694239650523,156018.0
7.0,0.06,2.46078431372549e-06,0.000156,0.00015597566779582386,500000.0
7.5,0.06,5.490196078431373e-07,3.6e-05,3.599870404665432e-05,500000.0
1.0,0.07,0.09734554199038106,0.9528301886792453,0.48792270531400966,106.0
1.5,0.07,0.06668356997971603,0.8706896551724138,0.46543778801843316,116.0
2.0,0.07,0.0509344362745098,0.7890625,0.4410480349344978,128.0
2.5,0.07,0.026284651791751185,0.5804597701149425,0.36727272727272725,174.0
3.0,0.07,0.01309025482852317,0.3782771535580524,0.27445652173913043,267.0
3.5,0.07,0.006422119409561578,0.22696629213483147,0.184981684981685,445.0
4.0,0.07,0.002640349738129247,0.11147902869757174,0.1002979145978153,906.0
4.5,0.07,0.0009502336090686274,0.04931640625,0.04699860400186133,2048.0
5.0,0.07,0.0003310118602339736,0.018090632276553824,0.01776917663617171,5583.0
5.5,0.07,0.00011619651767974708,0.0065772336545975515,0.006534256323995601,15356.0
6.0,0.07,3.877701447136334e-05,0.002250596073712592,0.002245542265107386,44877.0
6.5,0.07,1.1830786200915143e-05,0.0007386712693444109,0.0007381260368478364,136732.0
7.0,0.07,2.7549019607843135e-06,0.000172,0.00017197042108757293,500000.0
7.5,0.07,4.901960784313725e-07,3.2e-05,3.199897603276695e-05,500000.0
1.0,0.08,0.09487813817115631,0.9439252336448598,0.4855769230769231,107.0
1.5,0.08,0.06786680189317106,0.8706896551724138,0.46543778801843316,116.0
2.0,0.08,0.05188536953242836,0.7769230769230769,0.43722943722943725,130.0
2.5,0.08,0.027359781121751026,0.5872093023255814,0.36996336996337,172.0
3.0,0.08,0.01338979171435111,0.39299610894941633,0.28212290502793297,257.0
3.5,0.08,0.006565126050420168,0.22544642857142858,0.18397085610200364,448.0
4.0,0.08,0.0026592336280917596,0.11002178649237472,0.09911678115799803,918.0
4.5,0.08,0.0010749450642325896,0.05441810344827586,0.0516096065406234,1856.0
5.0,0.08,0.00036965605914496947,0.019479267116682738,0.01910707529322739,5185.0
5.5,0.08,0.00012361614795691875,0.007035876001393243,0.0069867183176535695,14355.0
6.0,0.08,4.2284025381882086e-05,0.002461073612904798,0.002455031599416626,41039.0
6.5,0.08,1.2240792065738477e-05,0.0007551176039595078,0.0007545478316088305,133754.0
7.0,0.08,2.715686274509804e-06,0.000172,0.00017197042108757293,500000.0
7.5,0.08,5.588235294117647e-07,3.6e-05,3.599870404665432e-05,500000.0
1.0,0.09,0.09762301146873843,0.9528301886792453,0.48792270531400966,106.0
1.5,0.09,0.06987444100447196,0.8859649122807017,0.4697674418604651,114.0
2.0,0.09,0.0531496062992126,0.7952755905511811,0.44298245614035087,127.0
2.5,0.09,0.028342245989304814,0.6121212121212121,0.37969924812030076,165.0
3.0,0.09,0.015068990559186637,0.4156378600823045,0.2936046511627907,243.0
3.5,0.09,0.006645114942528735,0.21767241379310345,0.17876106194690267,464.0
4.0,0.09,0.0026683622451197774,0.11197339246119734,0.10069790628115653,902.0
4.5,0.09,0.0011544262675484394,0.059763313609467454,0.056393076493579004,1690.0
5.0,0.09,0.000323066434669353,0.017471025774087528,0.01717103026181571,5781.0
5.5,0.09,0.00013994339191245457,0.008122235625251308,0.008056796426292279,12435.0
6.0,0.09,4.0161512455483895e-05,0.0023244039399797477,0.0023190136155947926,43452.0
6.5,0.09,1.2820099459406346e-05,0.0007908542792263723,0.0007902293229847196,127710.0
7.0,0.09,2.9901960784313724e-06,0.000188,0.00018796466264342303,500000.0
7.5,0.09,8.431372549019608e-07,5.4e-05,5.39970841574555e-05,500000.0
1.0,0.1,0.09863478101520982,0.9439252336448598,0.4855769230769231,107.0
1.5,0.1,0.07107843137254902,0.9017857142857143,0.47417840375586856,112.0
2.0,0.1,0.0548406862745098,0.7890625,0.4410480349344978,128.0
2.5,0.1,0.030971479500891266,0.6558441558441559,0.396078431372549,154.0
3.0,0.1,0.013721912122513238,0.3686131386861314,0.2693333333333333,274.0
3.5,0.1,0.007117601138816182,0.23653395784543327,0.19128787878787878,427.0
4.0,0.1,0.003256827969932857,0.1377899045020464,0.1211031175059952,733.0
4.5,0.1,0.0010676841344484178,0.04834849210148397,0.046118721461187215,2089.0
5.0,0.1,0.000391496273499491,0.02001585414189457,0.01962308140664465,5046.0
5.5,0.1,0.00013110636765910645,0.007300852970941159,0.007247936849659132,13834.0
6.0,0.1,4.6469698333988914e-05,0.0027123559900099365,0.0027050190154802077,37237.0
6.5,0.1,1.4358482214932788e-05,0.000860006301036265,0.0008592673257218697,117441.0
7.0,0.1,3.107843137254902e-06,0.000198,0.00019796080376085535,500000.0
7.5,0.1,8.627450980392156e-07,5.4e-05,5.39970841574555e-05,500000.0
1.0,0.11,0.09868059373282023,0.9439252336448598,0.4855769230769231,107.0
1.5,0.11,0.07357317927170869,0.9017857142857143,0.47417840375586856,112.0
2.0,0.11,0.05273321449792038,0.7651515151515151,0.4334763948497854,132.0
2.5,0.11,0.033249484004127965,0.6644736842105263,0.39920948616600793,152.0
3.0,0.11,0.014938457134678689,0.3686131386861314,0.2693333333333333,274.0
3.5,0.11,0.00837662033787262,0.24105011933174225,0.19423076923076923,419.0
4.0,0.11,0.0035059537469083863,0.13133940182054615,0.11609195402298851,769.0
4.5,0.11,0.0011208468207017151,0.04791271347248577,0.045722046174739704,2108.0
5.0,0.11,0.00043153577768256107,0.021019771071800208,0.02058703628210355,4805.0
5.5,0.11,0.00015734593947451842,0.00792654214409041,0.007864206182356148,12742.0
6.0,0.11,7.48315598845975e-05,0.004068151609135216,0.0040516688061617455,24827.0
6.5,0.11,1.59467529479283e-05,0.0009152281274070047,0.0009143912508148041,110355.0
7.0,0.11,5.295674329001116e-06,0.0002819433433455788,0.0002818638737026587,358228.0
7.5,0.11,1.1176470588235294e-06,6.6e-05,6.599564428747703e-05,500000.0
1.0,0.12,0.12740384615384615,0.9711538461538461,0.4926829268292683,104.0
1.5,0.12,0.10430283224400871,0.9351851851851852,0.48325358851674644,108.0
2.0,0.12,0.08233632436025258,0.8559322033898306,0.4611872146118721,118.0
2.5,0.12,0.06005809731299928,0.7481481481481481,0.4279661016949153,135.0
3.0,0.12,0.03891090114802398,0.5233160621761658,0.3435374149659864,193.0
3.5,0.12,0.022793232816592342,0.36462093862815886,0.2671957671957672,277.0
4.0,0.12,0.010509303903710847,0.18397085610200364,0.15538461538461537,549.0
4.5,0.12,0.006082062454611474,0.10390946502057613,0.09412861136999068,972.0
5.0,0.12,0.0030410982709184117,0.04972919743968488,0.0473733583489681,2031.0
5.5,0.12,0.0012914918514713017,0.021002287377833228,0.020370747606437156,4809.0
6.0,0.12,0.0006120792155158086,0.010975874809823951,0.010856712888315597,9202.0
6.5,0.12,0.0002848113322386914,0.00478650300933605,0.0047637015375907935,21101.0
7.0,0.12,0.00015880719643403545,0.0026623787431463517,0.0026553093040986406,37936.0
7.5,0.12,9.887878094521482e-05,0.001552818904417078,0.0015504113962912932,65043.0
1.0,0.13,0.20258202290817318,1.0,0.5,101.0
1.5,0.13,0.1892350999805863,1.0,0.5,101.0
2.0,0.13,0.1705788084464555,0.9711538461538461,0.4926829268292683,104.0
2.5,0.13,0.16332233828110684,0.9439252336448598,0.4855769230769231,107.0
3.0,0.13,0.13447583757912615,0.7952755905511811,0.44298245614035087,127.0
3.5,0.13,0.12821350762527234,0.7481481481481481,0.4279661016949153,135.0
4.0,0.13,0.09359325125398997,0.5872093023255814,0.36996336996337,172.0
4.5,0.13,0.07852299798424042,0.4719626168224299,0.32063492063492066,214.0
5.0,0.13,0.061255361519607844,0.39453125,0.28291316526610644,256.0
5.5,0.13,0.057405013287366226,0.36996336996337,0.2700534759358289,273.0
6.0,0.13,0.05830388692579505,0.3568904593639576,0.2630208333333333,283.0
6.5,0.13,0.053853009735362674,0.3531468531468531,0.26098191214470284,286.0
7.0,0.13,0.04520697167755991,0.28055555555555556,0.21908893709327548,360.0
7.5,0.13,0.04738082916451038,0.2961876832844575,0.22850678733031674,341.0
1.0,0.14,0.30188312948941953,1.0,0.5,101.0
1.5,0.14,0.2989225393127548,1.0,0.5,101.0
2.0,0.14,0.2915938652688798,1.0,0.5,101.0
2.5,0.14,0.2830161476355248,0.9901960784313726,0.4975369458128079,102.0
3.0,0.14,0.26663838612368024,0.9711538461538461,0.4926829268292683,104.0
3.5,0.14,0.26035367417995237,0.9439252336448598,0.4855769230769231,107.0
4.0,0.14,0.2349137931034483,0.8706896551724138,0.46543778801843316,116.0
4.5,0.14,0.22372227579556414,0.8278688524590164,0.452914798206278,122.0
5.0,0.14,0.22702965483714146,0.8347107438016529,0.45495495495495497,121.0
5.5,0.14,0.20850433196534426,0.7829457364341085,0.4391304347826087,129.0
6.0,0.14,0.20122549019607844,0.7214285714285714,0.4190871369294606,140.0
6.5,0.14,0.1672268907563025,0.5771428571428572,0.36594202898550726,175.0
7.0,0.14,0.14585645578986312,0.47641509433962265,0.3226837060702875,212.0
7.5,0.14,0.10216795051353875,0.3005952380952381,0.2311212814645309,336.0
1.0,0.15,0.37036497767423804,1.0,0.5,101.0
1.5,0.15,0.36036691904484563,1.0,0.5,101.0
2.0,0.15,0.35255290234905845,1.0,0.5,101.0
2.5,0.15,0.3493981751116288,1.0,0.5,101.0
3.0,0.15,0.3480392156862745,0.9901960784313726,0.4975369458128079,102.0
3.5,0.15,0.34475537787930705,0.9805825242718447,0.4950980392156863,103.0
4.0,0.15,0.34837235865219873,0.9805825242718447,0.4950980392156863,103.0
4.5,0.15,0.3258258258258258,0.9099099099099099,0.47641509433962265,111.0
5.0,0.15,0.3237076648841355,0.9181818181818182,0.4786729857819905,110.0
5.5,0.15,0.30232947880006705,0.8632478632478633,0.463302752293578,117.0
6.0,0.15,0.2957248473159756,0.8278688524590164,0.452914798206278,122.0
6.5,0.15,0.22986804784807005,0.6352201257861635,0.38846153846153847,159.0
7.0,0.15,0.15203828566999922,0.39920948616600793,0.2853107344632768,253.0
7.5,0.15,0.10432479443390259,0.271505376344086,0.2135306553911205,372.0
1.0,0.16,0.40870704717530576,1.0,0.5,101.0
1.5,0.16,0.4099204038050864,1.0,0.5,101.0
2.0,0.16,0.39845251826220685,0.9901960784313726,0.4975369458128079,102.0
2.5,0.16,0.39511745292176276,1.0,0.5,101.0
3.0,0.16,0.4057949912638323,1.0,0.5,101.0
3.5,0.16,0.40695981362842165,1.0,0.5,101.0
4.0,0.16,0.4024842946887493,0.9805825242718447,0.4950980392156863,103.0
4.5,0.16,0.3882447209653092,0.9711538461538461,0.4926829268292683,104.0
5.0,0.16,0.4009515570934256,0.9901960784313726,0.4975369458128079,102.0
5.5,0.16,0.37219251336898396,0.9181818181818182,0.4786729857819905,110.0
6.0,0.16,0.34126786307743434,0.8559322033898306,0.4611872146118721,118.0
6.5,0.16,0.310105580693816,0.7769230769230769,0.43722943722943725,130.0
7.0,0.16,0.27992238562091504,0.7013888888888888,0.4122448979591837,144.0
7.5,0.16,0.20819364015036065,0.5233160621761658,0.3435374149659864,193.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.0 0.13016889924286545 1.0 0.5 101.0
3 1.5 0.0 0.11390992040380508 1.0 0.5 101.0
4 2.0 0.0 0.10430013589594253 1.0 0.5 101.0
5 2.5 0.0 0.09017666472529606 1.0 0.5 101.0
6 3.0 0.0 0.08182877111240536 1.0 0.5 101.0
7 3.5 0.0 0.06887012230634829 1.0 0.5 101.0
8 4.0 0.0 0.057173364395263056 1.0 0.5 101.0
9 4.5 0.0 0.04610755193166376 1.0 0.5 101.0
10 5.0 0.0 0.03601242477188896 1.0 0.5 101.0
11 5.5 0.0 0.03195886197616302 0.9901960784313726 0.4975369458128079 102.0
12 6.0 0.0 0.02397592700446515 1.0 0.5 101.0
13 6.5 0.0 0.017445213379469436 0.9901960784313726 0.4975369458128079 102.0
14 7.0 0.0 0.01270053475935829 0.9181818181818182 0.4786729857819905 110.0
15 7.5 0.0 0.007798573975044563 0.7651515151515151 0.4334763948497854 132.0
16 1.0 0.01 0.09410794020578528 1.0 0.5 101.0
17 1.5 0.01 0.06997308727412534 0.9901960784313726 0.4975369458128079 102.0
18 2.0 0.01 0.05644393679802018 0.9805825242718447 0.4950980392156863 103.0
19 2.5 0.01 0.03820780648708082 0.9439252336448598 0.4855769230769231 107.0
20 3.0 0.01 0.025490196078431372 0.9181818181818182 0.4786729857819905 110.0
21 3.5 0.01 0.014961954931226222 0.753731343283582 0.4297872340425532 134.0
22 4.0 0.01 0.007832183152590644 0.5642458100558659 0.3607142857142857 179.0
23 4.5 0.01 0.003332051774958349 0.3300653594771242 0.24815724815724816 306.0
24 5.0 0.01 0.0017192128650021159 0.18165467625899281 0.1537290715372907 556.0
25 5.5 0.01 0.0007640035685135623 0.09777347531461762 0.0890652557319224 1033.0
26 6.0 0.01 0.0002406292110111927 0.03541374474053296 0.03420250592617677 2852.0
27 6.5 0.01 9.533468559837728e-05 0.013931034482758621 0.01373962726159706 7250.0
28 7.0 0.01 2.8408296271432968e-05 0.004502496433666191 0.004482314827142413 22432.0
29 7.5 0.01 7.857008939650586e-06 0.001395567346487592 0.0013936224524995515 72372.0
30 1.0 0.02 0.09030180699730873 0.9901960784313726 0.4975369458128079 102.0
31 1.5 0.02 0.06522331154684095 0.9351851851851852 0.48325358851674644 108.0
32 2.0 0.02 0.049919050188882895 0.926605504587156 0.48095238095238096 109.0
33 2.5 0.02 0.028994576554025864 0.7163120567375887 0.41735537190082644 141.0
34 3.0 0.02 0.01815435476516188 0.5872093023255814 0.36996336996337 172.0
35 3.5 0.02 0.009278711484593838 0.4007936507936508 0.28611898016997167 252.0
36 4.0 0.02 0.003515158519203359 0.19842829076620824 0.16557377049180327 509.0
37 4.5 0.02 0.0013487523022509087 0.08395677472984206 0.07745398773006135 1203.0
38 5.0 0.02 0.0004013143719026072 0.027747252747252746 0.026998128842555466 3640.0
39 5.5 0.02 0.00016504731356322146 0.011449948985375808 0.011320331764178435 8821.0
40 6.0 0.02 4.437431042911285e-05 0.0030375026314998044 0.0030283041496761815 33251.0
41 6.5 0.02 1.2192094202770043e-05 0.000845811141258835 0.0008450963493511167 119412.0
42 7.0 0.02 2.764705882352941e-06 0.000196 0.0001959615915280605 500000.0
43 7.5 0.02 6.96078431372549e-07 4.8e-05 4.799769611058669e-05 500000.0
44 1.0 0.03 0.09037692747001713 0.9805825242718447 0.4950980392156863 103.0
45 1.5 0.03 0.06437619295505813 0.8938053097345132 0.4719626168224299 113.0
46 2.0 0.03 0.04964273845131273 0.8559322033898306 0.4611872146118721 118.0
47 2.5 0.03 0.026193913148081317 0.6196319018404908 0.38257575757575757 163.0
48 3.0 0.03 0.01603641456582633 0.48095238095238096 0.3247588424437299 210.0
49 3.5 0.03 0.007452113793494276 0.29190751445086704 0.22595078299776286 346.0
50 4.0 0.03 0.0028573605608046325 0.13082901554404144 0.1156930126002291 772.0
51 4.5 0.03 0.0010247036667774454 0.05706214689265537 0.053981827899518976 1770.0
52 5.0 0.03 0.0003044266400985235 0.017819336626676077 0.01750736696134512 5668.0
53 5.5 0.03 0.00012169749196725593 0.007310364794441228 0.007257311202126895 13816.0
54 6.0 0.03 3.56236823804658e-05 0.0020911406033251208 0.002086776859504132 48299.0
55 6.5 0.03 1.0374588367264038e-05 0.0006638447786307709 0.0006634043810962593 152144.0
56 7.0 0.03 2.3627450980392157e-06 0.000152 0.0001519768995112743 500000.0
57 7.5 0.03 5.196078431372548e-07 3.4e-05 3.3998844039302665e-05 500000.0
58 1.0 0.04 0.09207362190159082 0.9528301886792453 0.48792270531400966 106.0
59 1.5 0.04 0.06675191815856778 0.8782608695652174 0.4675925925925926 115.0
60 2.0 0.04 0.04750233426704015 0.8015873015873016 0.44493392070484583 126.0
61 2.5 0.04 0.026018099547511313 0.5976331360946746 0.37407407407407406 169.0
62 3.0 0.04 0.012881896944824441 0.39147286821705424 0.28133704735376047 258.0
63 3.5 0.04 0.0065840061514802 0.24754901960784315 0.19842829076620824 408.0
64 4.0 0.04 0.0026100649280614337 0.1111111111111111 0.1 909.0
65 4.5 0.04 0.0009278379283402166 0.04791271347248577 0.045722046174739704 2108.0
66 5.0 0.04 0.0002976899261728983 0.016356275303643725 0.016093052899936264 6175.0
67 5.5 0.04 0.00011358050437191844 0.006394023803494555 0.0063534000125809904 15796.0
68 6.0 0.04 4.008014206588538e-05 0.0023460546793338134 0.0023405635891731555 43051.0
69 6.5 0.04 1.0293767220940665e-05 0.0006446589052287582 0.000644243587862706 156672.0
70 7.0 0.04 2.450980392156863e-06 0.000154 0.00015397628765170164 500000.0
71 7.5 0.04 6.176470588235294e-07 4e-05 3.999840006399744e-05 500000.0
72 1.0 0.05 0.0947558268590455 0.9528301886792453 0.48792270531400966 106.0
73 1.5 0.05 0.06581415174765558 0.8782608695652174 0.4675925925925926 115.0
74 2.0 0.05 0.047244094488188976 0.7952755905511811 0.44298245614035087 127.0
75 2.5 0.05 0.02558940242763772 0.6011904761904762 0.3754646840148699 168.0
76 3.0 0.05 0.012649629140045532 0.3782771535580524 0.27445652173913043 267.0
77 3.5 0.05 0.00588833094213295 0.20528455284552846 0.1703204047217538 492.0
78 4.0 0.05 0.002538604818842757 0.10316649642492338 0.09351851851851851 979.0
79 4.5 0.05 0.0009202565784678184 0.046933085501858735 0.044829116733244564 2152.0
80 5.0 0.05 0.0002940220301384533 0.01641742522756827 0.01615224692147769 6152.0
81 5.5 0.05 0.00011692575119219662 0.006564409203171715 0.006521598760250533 15386.0
82 6.0 0.05 3.577639534879112e-05 0.002041930331763136 0.0020377693487208456 49463.0
83 6.5 0.05 1.0852103196792829e-05 0.0006775658614143013 0.0006771070767745569 149063.0
84 7.0 0.05 2.3725490196078433e-06 0.00015 0.00014997750337449384 500000.0
85 7.5 0.05 6.568627450980392e-07 4.2e-05 4.199823607408489e-05 500000.0
86 1.0 0.06 0.0957732149463559 0.9528301886792453 0.48792270531400966 106.0
87 1.5 0.06 0.06699346405228758 0.8632478632478633 0.463302752293578 117.0
88 2.0 0.06 0.05048633626679018 0.7952755905511811 0.44298245614035087 127.0
89 2.5 0.06 0.026059274284426413 0.5804597701149425 0.36727272727272725 174.0
90 3.0 0.06 0.012814863773224645 0.3782771535580524 0.27445652173913043 267.0
91 3.5 0.06 0.006304073735924525 0.22394678492239467 0.18297101449275363 451.0
92 4.0 0.06 0.0025645685668706205 0.10401647785787847 0.09421641791044776 971.0
93 4.5 0.06 0.0008676426545460951 0.04537286612758311 0.04340352385045122 2226.0
94 5.0 0.06 0.0003190777623385312 0.017672790901137356 0.01736588720770289 5715.0
95 5.5 0.06 0.00012802567341504216 0.00732733604178758 0.00727403673028448 13784.0
96 6.0 0.06 3.7053184014162366e-05 0.0021265844106623994 0.0021220716461813217 47494.0
97 6.5 0.06 1.0274078481140562e-05 0.0006473612019125999 0.00064694239650523 156018.0
98 7.0 0.06 2.46078431372549e-06 0.000156 0.00015597566779582386 500000.0
99 7.5 0.06 5.490196078431373e-07 3.6e-05 3.599870404665432e-05 500000.0
100 1.0 0.07 0.09734554199038106 0.9528301886792453 0.48792270531400966 106.0
101 1.5 0.07 0.06668356997971603 0.8706896551724138 0.46543778801843316 116.0
102 2.0 0.07 0.0509344362745098 0.7890625 0.4410480349344978 128.0
103 2.5 0.07 0.026284651791751185 0.5804597701149425 0.36727272727272725 174.0
104 3.0 0.07 0.01309025482852317 0.3782771535580524 0.27445652173913043 267.0
105 3.5 0.07 0.006422119409561578 0.22696629213483147 0.184981684981685 445.0
106 4.0 0.07 0.002640349738129247 0.11147902869757174 0.1002979145978153 906.0
107 4.5 0.07 0.0009502336090686274 0.04931640625 0.04699860400186133 2048.0
108 5.0 0.07 0.0003310118602339736 0.018090632276553824 0.01776917663617171 5583.0
109 5.5 0.07 0.00011619651767974708 0.0065772336545975515 0.006534256323995601 15356.0
110 6.0 0.07 3.877701447136334e-05 0.002250596073712592 0.002245542265107386 44877.0
111 6.5 0.07 1.1830786200915143e-05 0.0007386712693444109 0.0007381260368478364 136732.0
112 7.0 0.07 2.7549019607843135e-06 0.000172 0.00017197042108757293 500000.0
113 7.5 0.07 4.901960784313725e-07 3.2e-05 3.199897603276695e-05 500000.0
114 1.0 0.08 0.09487813817115631 0.9439252336448598 0.4855769230769231 107.0
115 1.5 0.08 0.06786680189317106 0.8706896551724138 0.46543778801843316 116.0
116 2.0 0.08 0.05188536953242836 0.7769230769230769 0.43722943722943725 130.0
117 2.5 0.08 0.027359781121751026 0.5872093023255814 0.36996336996337 172.0
118 3.0 0.08 0.01338979171435111 0.39299610894941633 0.28212290502793297 257.0
119 3.5 0.08 0.006565126050420168 0.22544642857142858 0.18397085610200364 448.0
120 4.0 0.08 0.0026592336280917596 0.11002178649237472 0.09911678115799803 918.0
121 4.5 0.08 0.0010749450642325896 0.05441810344827586 0.0516096065406234 1856.0
122 5.0 0.08 0.00036965605914496947 0.019479267116682738 0.01910707529322739 5185.0
123 5.5 0.08 0.00012361614795691875 0.007035876001393243 0.0069867183176535695 14355.0
124 6.0 0.08 4.2284025381882086e-05 0.002461073612904798 0.002455031599416626 41039.0
125 6.5 0.08 1.2240792065738477e-05 0.0007551176039595078 0.0007545478316088305 133754.0
126 7.0 0.08 2.715686274509804e-06 0.000172 0.00017197042108757293 500000.0
127 7.5 0.08 5.588235294117647e-07 3.6e-05 3.599870404665432e-05 500000.0
128 1.0 0.09 0.09762301146873843 0.9528301886792453 0.48792270531400966 106.0
129 1.5 0.09 0.06987444100447196 0.8859649122807017 0.4697674418604651 114.0
130 2.0 0.09 0.0531496062992126 0.7952755905511811 0.44298245614035087 127.0
131 2.5 0.09 0.028342245989304814 0.6121212121212121 0.37969924812030076 165.0
132 3.0 0.09 0.015068990559186637 0.4156378600823045 0.2936046511627907 243.0
133 3.5 0.09 0.006645114942528735 0.21767241379310345 0.17876106194690267 464.0
134 4.0 0.09 0.0026683622451197774 0.11197339246119734 0.10069790628115653 902.0
135 4.5 0.09 0.0011544262675484394 0.059763313609467454 0.056393076493579004 1690.0
136 5.0 0.09 0.000323066434669353 0.017471025774087528 0.01717103026181571 5781.0
137 5.5 0.09 0.00013994339191245457 0.008122235625251308 0.008056796426292279 12435.0
138 6.0 0.09 4.0161512455483895e-05 0.0023244039399797477 0.0023190136155947926 43452.0
139 6.5 0.09 1.2820099459406346e-05 0.0007908542792263723 0.0007902293229847196 127710.0
140 7.0 0.09 2.9901960784313724e-06 0.000188 0.00018796466264342303 500000.0
141 7.5 0.09 8.431372549019608e-07 5.4e-05 5.39970841574555e-05 500000.0
142 1.0 0.1 0.09863478101520982 0.9439252336448598 0.4855769230769231 107.0
143 1.5 0.1 0.07107843137254902 0.9017857142857143 0.47417840375586856 112.0
144 2.0 0.1 0.0548406862745098 0.7890625 0.4410480349344978 128.0
145 2.5 0.1 0.030971479500891266 0.6558441558441559 0.396078431372549 154.0
146 3.0 0.1 0.013721912122513238 0.3686131386861314 0.2693333333333333 274.0
147 3.5 0.1 0.007117601138816182 0.23653395784543327 0.19128787878787878 427.0
148 4.0 0.1 0.003256827969932857 0.1377899045020464 0.1211031175059952 733.0
149 4.5 0.1 0.0010676841344484178 0.04834849210148397 0.046118721461187215 2089.0
150 5.0 0.1 0.000391496273499491 0.02001585414189457 0.01962308140664465 5046.0
151 5.5 0.1 0.00013110636765910645 0.007300852970941159 0.007247936849659132 13834.0
152 6.0 0.1 4.6469698333988914e-05 0.0027123559900099365 0.0027050190154802077 37237.0
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@ -1,8 +0,0 @@
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0
latex/presentations/midterm/res/2d_ber_fer_dfr_20433484_hybrid.csv → latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_20433484.csv
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0
latex/presentations/midterm/res/2d_ber_fer_dfr_20433484_hybrid_metadata.json → latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_20433484_metadata.json
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latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_20455187.csv Normal file
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SNR,gamma,BER,FER,DFR,num_iterations
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4 2.0 0.01 0.0815592903828198 0.9619047619047619 0.49029126213592233 105.0
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29 4.5 0.15 0.451465734808775 1.0 0.5 101.0
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31 5.5 0.15 0.33649132730015086 0.9711538461538461 0.4926829268292683 104.0

9
latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_20455187_metadata.json Normal file
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31
latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_40833844.csv Normal file
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3 1.5 0.01 0.07178217821782178 1.0 0.5 101.0
4 2.0 0.01 0.05319355464958261 1.0 0.5 101.0
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23 1.5 0.15 0.34032226752086975 1.0 0.5 101.0
24 2.0 0.15 0.33034847602407297 1.0 0.5 101.0
25 2.5 0.15 0.32974179770918266 1.0 0.5 101.0
26 3.0 0.15 0.3295476606484178 1.0 0.5 101.0
27 3.5 0.15 0.32175791108522617 1.0 0.5 101.0
28 4.0 0.15 0.3154241894777713 1.0 0.5 101.0
29 4.5 0.15 0.32195204814599104 1.0 0.5 101.0
30 5.0 0.15 0.3212483013007183 1.0 0.5 101.0
31 5.5 0.15 0.31752210688196847 0.9901960784313726 0.4975369458128079 102.0

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latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_963965.csv Normal file
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SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.0943452380952381,0.9619047619047619,0.49029126213592233,105.0
1.5,0.01,0.07425458715596331,0.926605504587156,0.48095238095238096,109.0
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3.5,0.01,0.01668552036199095,0.45701357466063347,0.3136645962732919,221.0
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1.0,0.05,0.09079861111111111,0.8416666666666667,0.45701357466063347,120.0
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5.5,0.15,0.17773729446935724,0.452914798206278,0.3117283950617284,223.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.0943452380952381 0.9619047619047619 0.49029126213592233 105.0
3 1.5 0.01 0.07425458715596331 0.926605504587156 0.48095238095238096 109.0
4 2.0 0.01 0.05845385674931129 0.8347107438016529 0.45248868778280543 121.0
5 2.5 0.01 0.04104938271604938 0.7481481481481481 0.425531914893617 135.0
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7 3.5 0.01 0.01668552036199095 0.45701357466063347 0.3136645962732919 221.0
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9 4.5 0.01 0.0038886542792792795 0.17060810810810811 0.14574314574314573 592.0
10 5.0 0.01 0.0018921095008051529 0.09758454106280193 0.08890845070422536 1035.0
11 5.5 0.01 0.0008550995024875622 0.04710820895522388 0.04498886414253898 2144.0
12 1.0 0.05 0.09079861111111111 0.8416666666666667 0.45701357466063347 120.0
13 1.5 0.05 0.06677704194260485 0.6688741721854304 0.396 151.0
14 2.0 0.05 0.050011510128913444 0.5580110497237569 0.3489208633093525 181.0
15 2.5 0.05 0.03151611922141119 0.3686131386861314 0.26541554959785524 274.0
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21 5.5 0.05 9.290550348976298e-05 0.0017593979723373864 0.0016521451800838246 57406.0
22 1.0 0.15 0.399236798679868 1.0 0.5 101.0
23 1.5 0.15 0.38721955128205127 0.9711538461538461 0.4926829268292683 104.0
24 2.0 0.15 0.3641141141141141 0.9099099099099099 0.47393364928909953 111.0
25 2.5 0.15 0.34692028985507245 0.8782608695652174 0.4675925925925926 115.0
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29 4.5 0.15 0.2106729055258467 0.5401069518716578 0.34843205574912894 187.0
30 5.0 0.15 0.19948186528497408 0.5233160621761658 0.3412969283276451 193.0
31 5.5 0.15 0.17773729446935724 0.452914798206278 0.3117283950617284 223.0

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latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_bch_31_11.csv Normal file
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SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.14838709677419354,0.8782608695652174,0.46261682242990654,115.0
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3.0,0.01,0.06555671175858481,0.6516129032258065,0.39453125,155.0
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5.5,0.01,0.010534359478194422,0.17089678510998307,0.14595375722543352,591.0
1.0,0.05,0.1447132616487455,0.7013888888888888,0.4024896265560166,144.0
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5.5,0.15,0.22509277761918356,0.4469026548672566,0.3046153846153846,226.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.14838709677419354 0.8782608695652174 0.46261682242990654 115.0
3 1.5 0.01 0.13515016685205783 0.8706896551724138 0.46296296296296297 116.0
4 2.0 0.01 0.1074401664932362 0.8145161290322581 0.4488888888888889 124.0
5 2.5 0.01 0.08372865275142315 0.7426470588235294 0.423728813559322 136.0
6 3.0 0.01 0.06555671175858481 0.6516129032258065 0.39453125 155.0
7 3.5 0.01 0.04821366631980576 0.543010752688172 0.3519163763066202 186.0
8 4.0 0.01 0.03350354963258189 0.38996138996138996 0.28055555555555556 259.0
9 4.5 0.01 0.026089594498938214 0.3166144200626959 0.24047619047619048 319.0
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11 5.5 0.01 0.010534359478194422 0.17089678510998307 0.14595375722543352 591.0
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13 1.5 0.05 0.12072628935677034 0.6047904191616766 0.36981132075471695 167.0
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20 5.0 0.05 0.009589656870090116 0.06702057067020571 0.06164383561643835 1507.0
21 5.5 0.05 0.004745740724725417 0.033847184986595176 0.03148328464784161 2984.0
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23 1.5 0.15 0.4353358981947322 0.926605504587156 0.48095238095238096 109.0
24 2.0 0.15 0.41557686718977044 0.9099099099099099 0.47393364928909953 111.0
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28 4.0 0.15 0.35328142380422695 0.696551724137931 0.40816326530612246 145.0
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30 5.0 0.15 0.241321044546851 0.48095238095238096 0.3181818181818182 210.0
31 5.5 0.15 0.22509277761918356 0.4469026548672566 0.3046153846153846 226.0

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latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_bch_31_26.csv Normal file
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SNR,gamma,BER,FER,DFR,num_iterations
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1.5,0.01,0.09863523573200993,0.6474358974358975,0.006369426751592357,156.0
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3.0,0.01,0.040507667900581704,0.33114754098360655,0.022435897435897436,305.0
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1.5,0.15,0.32302867383512546,0.7013888888888888,0.0,144.0
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4.0,0.15,0.1234954260953298,0.2512437810945274,0.0024813895781637717,402.0
4.5,0.15,0.09664719329438659,0.19881889763779528,0.0,508.0
5.0,0.15,0.055768179332968834,0.10699152542372882,0.0,944.0
5.5,0.15,0.0412538327040519,0.0793401413982718,0.0,1273.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.1076036866359447 0.7214285714285714 0.014084507042253521 140.0
3 1.5 0.01 0.09863523573200993 0.6474358974358975 0.006369426751592357 156.0
4 2.0 0.01 0.06782464846980976 0.517948717948718 0.01015228426395939 195.0
5 2.5 0.01 0.05789547823637132 0.4410480349344978 0.01293103448275862 229.0
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9 4.5 0.01 0.013437889859205132 0.11160220994475138 0.006586169045005488 905.0
10 5.0 0.01 0.0063573012906718825 0.05468327016783974 0.0021609940572663426 1847.0
11 5.5 0.01 0.0027177400481643932 0.023636789141118653 0.00046783625730994154 4273.0
12 1.0 0.05 0.08720083246618106 0.6516129032258065 0.00641025641025641 155.0
13 1.5 0.05 0.0712799167533819 0.543010752688172 0.0053475935828877 186.0
14 2.0 0.05 0.06328137058187992 0.48325358851674644 0.0 209.0
15 2.5 0.05 0.04130340017436791 0.34121621621621623 0.010033444816053512 296.0
16 3.0 0.05 0.02823529411764706 0.2376470588235294 0.009324009324009324 425.0
17 3.5 0.05 0.021330060776063583 0.18297101449275363 0.0018083182640144665 552.0
18 4.0 0.05 0.014593883328681367 0.12484548825710753 0.0 809.0
19 4.5 0.05 0.006654567453115548 0.06110102843315184 0.0006045949214026602 1653.0
20 5.0 0.05 0.0034803386837047425 0.032528180354267314 0.0003219575016097875 3105.0
21 5.5 0.05 0.0017559403087039132 0.01671078755790867 0.000496113775425831 6044.0
22 1.0 0.15 0.31174587540014775 0.7709923664122137 0.0 131.0
23 1.5 0.15 0.32302867383512546 0.7013888888888888 0.0 144.0
24 2.0 0.15 0.2903225806451613 0.6474358974358975 0.012658227848101266 156.0
25 2.5 0.15 0.20661703887510338 0.517948717948718 0.00510204081632653 195.0
26 3.0 0.15 0.20477476197243144 0.44493392070484583 0.0043859649122807015 227.0
27 3.5 0.15 0.14526953886122537 0.3389261744966443 0.0 298.0
28 4.0 0.15 0.1234954260953298 0.2512437810945274 0.0024813895781637717 402.0
29 4.5 0.15 0.09664719329438659 0.19881889763779528 0.0 508.0
30 5.0 0.15 0.055768179332968834 0.10699152542372882 0.0 944.0
31 5.5 0.15 0.0412538327040519 0.0793401413982718 0.0 1273.0

9
latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_bch_31_26_metadata.json Normal file
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@ -0,0 +1,9 @@
{
"duration": 0.4332787909952458,
"name": "2d_BER_FER_DFR_bch_31_26",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"min_var_k": 150,
"end_time": "2023-01-24 16:51:03.263440"
}

31
latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_pegreg252x504.csv Normal file
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@ -0,0 +1,31 @@
SNR,gamma,BER,FER,DFR,num_iterations
1.0,0.01,0.09354864057834354,1.0,0.5,101.0
1.5,0.01,0.07331447430457332,1.0,0.5,101.0
2.0,0.01,0.05638063806380638,1.0,0.5,101.0
2.5,0.01,0.040782649693540785,1.0,0.5,101.0
3.0,0.01,0.024859943977591035,0.9901960784313726,0.4975369458128079,102.0
3.5,0.01,0.01549865229110512,0.9528301886792453,0.48792270531400966,106.0
4.0,0.01,0.008361678004535147,0.9017857142857143,0.47417840375586856,112.0
4.5,0.01,0.003981570256738042,0.6778523489932886,0.404,149.0
5.0,0.01,0.001657329598506069,0.396078431372549,0.28370786516853935,255.0
5.5,0.01,0.00063619302096256,0.20240480961923848,0.16833333333333333,499.0
1.0,0.05,0.09390224736759391,1.0,0.5,101.0
1.5,0.05,0.06728351406569229,1.0,0.5,101.0
2.0,0.05,0.04523809523809524,0.9619047619047619,0.49029126213592233,105.0
2.5,0.05,0.02620517342739565,0.7481481481481481,0.4279661016949153,135.0
3.0,0.05,0.010427855352667383,0.37969924812030076,0.27520435967302453,266.0
3.5,0.05,0.0029187763037022796,0.13593539703903096,0.11966824644549763,743.0
4.0,0.05,0.0006703462313819897,0.041512535963830664,0.039857932123125495,2433.0
4.5,0.05,9.190850090968527e-05,0.006645611264640084,0.00660173867573044,15198.0
5.0,0.05,1.3433806155116967e-05,0.0010221740934530255,0.0010211303204933778,98809.0
5.5,0.05,1.5555555555555556e-06,0.000126,0.00012598412600012398,500000.0
1.0,0.15,0.33667295300958666,1.0,0.5,101.0
1.5,0.15,0.33075986170045574,1.0,0.5,101.0
2.0,0.15,0.32374666038032374,1.0,0.5,101.0
2.5,0.15,0.31655665566556657,1.0,0.5,101.0
3.0,0.15,0.30365000785792867,1.0,0.5,101.0
3.5,0.15,0.309013044161559,1.0,0.5,101.0
4.0,0.15,0.3084040546911834,1.0,0.5,101.0
4.5,0.15,0.3033160458903033,1.0,0.5,101.0
5.0,0.15,0.3023338048090523,1.0,0.5,101.0
5.5,0.15,0.30788982259570497,0.9901960784313726,0.4975369458128079,102.0
1 SNR gamma BER FER DFR num_iterations
2 1.0 0.01 0.09354864057834354 1.0 0.5 101.0
3 1.5 0.01 0.07331447430457332 1.0 0.5 101.0
4 2.0 0.01 0.05638063806380638 1.0 0.5 101.0
5 2.5 0.01 0.040782649693540785 1.0 0.5 101.0
6 3.0 0.01 0.024859943977591035 0.9901960784313726 0.4975369458128079 102.0
7 3.5 0.01 0.01549865229110512 0.9528301886792453 0.48792270531400966 106.0
8 4.0 0.01 0.008361678004535147 0.9017857142857143 0.47417840375586856 112.0
9 4.5 0.01 0.003981570256738042 0.6778523489932886 0.404 149.0
10 5.0 0.01 0.001657329598506069 0.396078431372549 0.28370786516853935 255.0
11 5.5 0.01 0.00063619302096256 0.20240480961923848 0.16833333333333333 499.0
12 1.0 0.05 0.09390224736759391 1.0 0.5 101.0
13 1.5 0.05 0.06728351406569229 1.0 0.5 101.0
14 2.0 0.05 0.04523809523809524 0.9619047619047619 0.49029126213592233 105.0
15 2.5 0.05 0.02620517342739565 0.7481481481481481 0.4279661016949153 135.0
16 3.0 0.05 0.010427855352667383 0.37969924812030076 0.27520435967302453 266.0
17 3.5 0.05 0.0029187763037022796 0.13593539703903096 0.11966824644549763 743.0
18 4.0 0.05 0.0006703462313819897 0.041512535963830664 0.039857932123125495 2433.0
19 4.5 0.05 9.190850090968527e-05 0.006645611264640084 0.00660173867573044 15198.0
20 5.0 0.05 1.3433806155116967e-05 0.0010221740934530255 0.0010211303204933778 98809.0
21 5.5 0.05 1.5555555555555556e-06 0.000126 0.00012598412600012398 500000.0
22 1.0 0.15 0.33667295300958666 1.0 0.5 101.0
23 1.5 0.15 0.33075986170045574 1.0 0.5 101.0
24 2.0 0.15 0.32374666038032374 1.0 0.5 101.0
25 2.5 0.15 0.31655665566556657 1.0 0.5 101.0
26 3.0 0.15 0.30365000785792867 1.0 0.5 101.0
27 3.5 0.15 0.309013044161559 1.0 0.5 101.0
28 4.0 0.15 0.3084040546911834 1.0 0.5 101.0
29 4.5 0.15 0.3033160458903033 1.0 0.5 101.0
30 5.0 0.15 0.3023338048090523 1.0 0.5 101.0
31 5.5 0.15 0.30788982259570497 0.9901960784313726 0.4975369458128079 102.0

9
latex/presentations/midterm/res/hybrid/2d_ber_fer_dfr_pegreg252x504_metadata.json Normal file
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@ -0,0 +1,9 @@
{
"duration": 3169.7098331579764,
"name": "2d_BER_FER_DFR_pegreg252x504",
"platform": "Linux-6.1.6-arch1-3-x86_64-with-glibc2.36",
"omega": 0.05,
"K": 200,
"min_var_k": 150,
"end_time": "2023-01-24 14:58:01.240346"
}

0
latex/presentations/midterm/res/fps_vs_n_hybrid.csv → latex/presentations/midterm/res/hybrid/fps_vs_n.csv
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0
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0
latex/presentations/midterm/res/2d_ber_fer_dfr_20433484_metadata.json → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_20433484_metadata.json
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0
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0
latex/presentations/midterm/res/2d_ber_fer_dfr_20455187_metadata.json → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_20455187_metadata.json
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0
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latex/presentations/midterm/res/2d_ber_fer_dfr_40833844_metadata.json → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_40833844_metadata.json
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latex/presentations/midterm/res/2d_ber_fer_dfr_963965_metadata.json → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_963965_metadata.json
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0
latex/presentations/midterm/res/2d_ber_fer_dfr_bch_31_11.csv → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_bch_31_11.csv
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0
latex/presentations/midterm/res/2d_ber_fer_dfr_bch_31_11_metadata.json → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_bch_31_11_metadata.json
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0
latex/presentations/midterm/res/2d_ber_fer_dfr_bch_31_26.csv → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_bch_31_26.csv
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latex/presentations/midterm/res/2d_ber_fer_dfr_bch_31_26_metadata.json → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_bch_31_26_metadata.json
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latex/presentations/midterm/res/2d_ber_fer_dfr_pegreg252x504.csv → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_pegreg252x504.csv
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latex/presentations/midterm/res/2d_ber_fer_dfr_pegreg252x504_metadata.json → latex/presentations/midterm/res/proximal/2d_ber_fer_dfr_pegreg252x504_metadata.json
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0
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8
latex/presentations/midterm/sections/appendix.tex
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@ -18,11 +18,11 @@
legend style={at={(0.05,0.77)},anchor=south west}, legend style={at={(0.05,0.77)},anchor=south west},
] ]
\addplot[only marks, red] table [col sep=comma, \addplot[only marks, red] table [col sep=comma,
x=n, y=spf] {res/fps_vs_n_proximal.csv}; x=n, y=spf] {res/proximal/fps_vs_n.csv};
\addlegendentry{proximal} \addlegendentry{proximal}
\addplot[only marks, blue] table [col sep=comma, \addplot[only marks, blue] table [col sep=comma,
x=n, y=spf] {res/fps_vs_n_hybrid.csv}; x=n, y=spf] {res/hybrid/fps_vs_n.csv};
\addlegendentry{hybrid prox \& ML ($\SI{12}{\bit}$)} \addlegendentry{hybrid prox \& ML ($\SI{12}{\bit}$)}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -75,7 +75,7 @@
colormap/rocket, colormap/rocket,
-stealth, -stealth,
] ]
table[col sep=comma] {res/2d_grad_L.csv}; table[col sep=comma] {res/proximal/2d_grad_L.csv};
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -106,7 +106,7 @@
colormap/rocket, colormap/rocket,
-stealth, -stealth,
] ]
table[col sep=comma] {res/2d_grad_rep.csv}; table[col sep=comma] {res/proximal/2d_grad_h.csv};
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}

408
latex/presentations/midterm/sections/examination_results.tex
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@ -36,15 +36,15 @@
] ]
\addplot table [x=SNR, y=BER, \addplot table [x=SNR, y=BER,
col sep=comma, discard if not={gamma}{0.15}] col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\addplot table [x=SNR, y=BER, \addplot table [x=SNR, y=BER,
col sep=comma, discard if not={gamma}{0.01}] col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot table [x=SNR, y=BER, \addplot table [x=SNR, y=BER,
col sep=comma, discard if not={gamma}{0.05}] col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -97,7 +97,7 @@
\foreach \gamma in {0.01, 0.05, 0.15}{ \foreach \gamma in {0.01, 0.05, 0.15}{
\addplot table [x=SNR, y=BER, \addplot table [x=SNR, y=BER,
col sep=comma, discard if not={gamma}{\gamma}] col sep=comma, discard if not={gamma}{\gamma}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\legend{\gamma} \legend{\gamma}
} }
\legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$} \legend{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$}
@ -117,22 +117,22 @@
mesh/rows=17, mesh/cols=14, mesh/rows=17, mesh/cols=14,
colormap/viridis] table [col sep=comma, colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table [col sep=comma, \addplot3[red, line width=1.5] table [col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table [col sep=comma, \addplot3[blue, line width=1.5] table [col sep=comma,
discard if not={gamma}{0.01}, discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table [col sep=comma, \addplot3[brown, line width=1.5] table [col sep=comma,
discard if not={gamma}{0.15}, discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -168,22 +168,22 @@
mesh/rows=17, mesh/cols=10, mesh/rows=17, mesh/cols=10,
colormap/viridis] table [col sep=comma, colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_963965.csv}; {res/proximal/2d_ber_fer_dfr_963965.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table[col sep=comma, \addplot3[red, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_963965.csv}; {res/proximal/2d_ber_fer_dfr_963965.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table[col sep=comma, \addplot3[blue, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.01}, discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_963965.csv}; {res/proximal/2d_ber_fer_dfr_963965.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table[col sep=comma, \addplot3[brown, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.15}, discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_963965.csv}; {res/proximal/2d_ber_fer_dfr_963965.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -201,22 +201,22 @@
mesh/rows=17, mesh/cols=14, mesh/rows=17, mesh/cols=14,
colormap/viridis] table [col sep=comma, colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table[col sep=comma, \addplot3[red, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table[col sep=comma, \addplot3[blue, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.01}, discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table[col sep=comma, \addplot3[brown, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.15}, discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20433484.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -234,22 +234,22 @@
mesh/rows=17, mesh/cols=10, mesh/rows=17, mesh/cols=10,
colormap/viridis] table [col sep=comma, colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_40833844.csv}; {res/proximal/2d_ber_fer_dfr_40833844.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table[col sep=comma, \addplot3[red, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_40833844.csv}; {res/proximal/2d_ber_fer_dfr_40833844.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table[col sep=comma, \addplot3[blue, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.01}, discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_40833844.csv}; {res/proximal/2d_ber_fer_dfr_40833844.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table[col sep=comma, \addplot3[brown, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.15}, discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_40833844.csv}; {res/proximal/2d_ber_fer_dfr_40833844.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -267,22 +267,22 @@
mesh/rows=17, mesh/cols=10, mesh/rows=17, mesh/cols=10,
colormap/viridis] table [col sep=comma, colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_bch_31_26.csv}; {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table[col sep=comma, \addplot3[red, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_bch_31_26.csv}; {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table[col sep=comma, \addplot3[blue, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.01}, discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_bch_31_26.csv}; {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table[col sep=comma, \addplot3[brown, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.15}, discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_bch_31_26.csv}; {res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -300,22 +300,22 @@
mesh/rows=17, mesh/cols=10, mesh/rows=17, mesh/cols=10,
colormap/viridis] table [col sep=comma, colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20455187.csv}; {res/proximal/2d_ber_fer_dfr_20455187.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table[col sep=comma, \addplot3[red, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20455187.csv}; {res/proximal/2d_ber_fer_dfr_20455187.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table[col sep=comma, \addplot3[blue, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.01}, discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20455187.csv}; {res/proximal/2d_ber_fer_dfr_20455187.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table[col sep=comma, \addplot3[brown, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.15}, discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_20455187.csv}; {res/proximal/2d_ber_fer_dfr_20455187.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -333,22 +333,22 @@
mesh/rows=17, mesh/cols=10, mesh/rows=17, mesh/cols=10,
colormap/viridis] table [col sep=comma, colormap/viridis] table [col sep=comma,
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_pegreg252x504.csv}; {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $} \addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
\addplot3[red, line width=1.5] table[col sep=comma, \addplot3[red, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_pegreg252x504.csv}; {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\addplot3[blue, line width=1.5] table[col sep=comma, \addplot3[blue, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.01}, discard if not={gamma}{0.01},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_pegreg252x504.csv}; {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot3[brown, line width=1.5] table[col sep=comma, \addplot3[brown, line width=1.5] table[col sep=comma,
discard if not={gamma}{0.15}, discard if not={gamma}{0.15},
x=SNR, y=gamma, z=BER] x=SNR, y=gamma, z=BER]
{res/2d_ber_fer_dfr_pegreg252x504.csv}; {res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -408,13 +408,13 @@ Output $\boldsymbol{\hat{x}}$
ymax=1.5, ymin=3e-7, ymax=1.5, ymin=3e-7,
] ]
\addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}] \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}] \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -427,13 +427,13 @@ Output $\boldsymbol{\hat{x}}$
ymax=1.5, ymin=3e-7, ymax=1.5, ymin=3e-7,
] ]
\addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}] \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\end{axis} \end{axis}
\end{tikzpicture}\\ \end{tikzpicture}\\
@ -446,13 +446,13 @@ Output $\boldsymbol{\hat{x}}$
ymax=1.5, ymin=3e-7, ymax=1.5, ymin=3e-7,
] ]
\addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}] \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.15$} \addlegendentry{$\gamma = 0.15$}
\addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}] \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.01$} \addlegendentry{$\gamma = 0.01$}
\addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{$\gamma = 0.05$} \addlegendentry{$\gamma = 0.05$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -528,10 +528,10 @@ Output $\boldsymbol{\hat{x}}$
% ] % ]
% %
% \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] % \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/2d_ber_fer_dfr_20433484_proximal.csv}; % {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{proximal} % \addlegendentry{proximal}
% \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] % \addplot table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
% {res/2d_ber_fer_dfr_20433484_hybrid.csv}; % {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{hybrid prox. \& ML} % \addlegendentry{hybrid prox. \& ML}
% \end{axis} % \end{axis}
% \end{tikzpicture} % \end{tikzpicture}
@ -545,10 +545,10 @@ Output $\boldsymbol{\hat{x}}$
% ] % ]
% %
% \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] % \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/2d_ber_fer_dfr_20433484_proximal.csv}; % {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{proximal} % \addlegendentry{proximal}
% \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] % \addplot table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
% {res/2d_ber_fer_dfr_20433484_hybrid.csv}; % {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{hybrid prox. \& ML} % \addlegendentry{hybrid prox. \& ML}
% \end{axis} % \end{axis}
% \end{tikzpicture}\\ % \end{tikzpicture}\\
@ -562,10 +562,10 @@ Output $\boldsymbol{\hat{x}}$
% ] % ]
% %
% \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] % \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/2d_ber_fer_dfr_20433484_proximal.csv}; % {res/proximal/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{proximal} % \addlegendentry{proximal}
% \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] % \addplot table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
% {res/2d_ber_fer_dfr_20433484_hybrid.csv}; % {res/hybrid/2d_ber_fer_dfr_20433484.csv};
% \addlegendentry{hybrid prox. \& ML} % \addlegendentry{hybrid prox. \& ML}
% \end{axis} % \end{axis}
% \end{tikzpicture} % \end{tikzpicture}
@ -593,7 +593,7 @@ Output $\boldsymbol{\hat{x}}$
\addplot table [col sep=comma, \addplot table [col sep=comma,
discard if not={gamma}{0.05}, discard if not={gamma}{0.05},
x=SNR, y=BER] x=SNR, y=BER]
{res/2d_ber_fer_dfr_20433484.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -695,29 +695,29 @@ $\textcolor{KITblue}{\text{Output }\boldsymbol{\tilde{x}}_n\text{ with lowest }d
] ]
\addplot[ForestGreen, mark=*, solid] \addplot[ForestGreen, mark=*, solid]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.15$} \addlegendentry{proximal, $\gamma = 0.15$}
\addplot[Emerald, mark=triangle, densely dashed] \addplot[Emerald, mark=triangle, densely dashed]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid $\gamma = 0.15$} \addlegendentry{hybrid $\gamma = 0.15$}
\addplot[NavyBlue, mark=*, solid] \addplot[NavyBlue, mark=*, solid]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.01$} \addlegendentry{proximal, $\gamma = 0.01$}
\addplot[RoyalPurple, mark=triangle, densely dashed] \addplot[RoyalPurple, mark=triangle, densely dashed]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid, $\gamma = 0.01$} \addlegendentry{hybrid, $\gamma = 0.01$}
\addplot[RedOrange, mark=*, solid] \addplot[RedOrange, mark=*, solid]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.05$} \addlegendentry{proximal, $\gamma = 0.05$}
\addplot[red, mark=triangle, densely dashed] \addplot[red, mark=triangle, densely dashed]
table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}] table [x=SNR, y=BER, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid, $\gamma = 0.05$} \addlegendentry{hybrid, $\gamma = 0.05$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -733,30 +733,30 @@ $\textcolor{KITblue}{\text{Output }\boldsymbol{\tilde{x}}_n\text{ with lowest }d
\addplot[ForestGreen, mark=*, solid] \addplot[ForestGreen, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.15$} \addlegendentry{proximal, $\gamma = 0.15$}
\addplot[Emerald, mark=triangle, densely dashed] \addplot[Emerald, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.15$} \addlegendentry{hybrid, $\gamma = 0.15$}
\addplot[NavyBlue, mark=*, solid] \addplot[NavyBlue, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.01$} \addlegendentry{proximal, $\gamma = 0.01$}
\addplot[RoyalPurple, mark=triangle, densely dashed] \addplot[RoyalPurple, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.01$} \addlegendentry{hybrid, $\gamma = 0.01$}
\addplot[RedOrange, mark=*, solid] \addplot[RedOrange, mark=*, solid]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.05$} \addlegendentry{proximal, $\gamma = 0.05$}
\addplot[red, mark=triangle, densely dashed] \addplot[red, mark=triangle, densely dashed]
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}] table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.05$} \addlegendentry{hybrid, $\gamma = 0.05$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
\begin{tikzpicture}[scale=0.55] \begin{tikzpicture}[scale=0.55]
@ -771,30 +771,30 @@ $\textcolor{KITblue}{\text{Output }\boldsymbol{\tilde{x}}_n\text{ with lowest }d
\addplot[ForestGreen, mark=*, solid] \addplot[ForestGreen, mark=*, solid]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.15$} \addlegendentry{proximal, $\gamma = 0.15$}
\addplot[Emerald, mark=triangle, densely dashed] \addplot[Emerald, mark=triangle, densely dashed]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.15$} \addlegendentry{hybrid, $\gamma = 0.15$}
\addplot[NavyBlue, mark=*, solid] \addplot[NavyBlue, mark=*, solid]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.01$} \addlegendentry{proximal, $\gamma = 0.01$}
\addplot[RoyalPurple, mark=triangle, densely dashed] \addplot[RoyalPurple, mark=triangle, densely dashed]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.01$} \addlegendentry{hybrid, $\gamma = 0.01$}
\addplot[RedOrange, mark=*, solid] \addplot[RedOrange, mark=*, solid]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_proximal.csv}; {res/proximal/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{proximal, $\gamma = 0.05$} \addlegendentry{proximal, $\gamma = 0.05$}
\addplot[red, mark=triangle, densely dashed] \addplot[red, mark=triangle, densely dashed]
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}] table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
{res/2d_ber_fer_dfr_20433484_hybrid.csv}; {res/hybrid/2d_ber_fer_dfr_20433484.csv};
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.05$} \addlegendentry{hybrid, $\gamma = 0.05$}
\end{axis} \end{axis}
\end{tikzpicture} \end{tikzpicture}
@ -804,6 +804,270 @@ $\textcolor{KITblue}{\text{Output }\boldsymbol{\tilde{x}}_n\text{ with lowest }d
\end{frame} \end{frame}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\begin{frame}[t]
\frametitle{Proximal Decoding: Improvement using ``ML-on-List''}
\begin{figure}[H]
\vspace*{-0.5cm}
\centering
\begin{subfigure}[c]{0.33\textwidth}
\centering
\begin{tikzpicture}[scale=0.35]
\begin{axis}[
grid=both,
xlabel={$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,
]
\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};
\addlegendentry{proximal, $\gamma = 0.15$}
\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};
\addlegendentry{hybrid, $\gamma = 0.15$}
\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};
\addlegendentry{proximal, $\gamma = 0.01$}
\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};
\addlegendentry{hybrid, $\gamma = 0.01$}
\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};
\addlegendentry{proximal, $\gamma = 0.05$}
\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};
\addlegendentry{hybrid, $\gamma = 0.05$}
\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=0.35]
\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,
]
\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};
\addlegendentry{proximal, $\gamma = 0.15$}
\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};
\addlegendentry{hybrid, $\gamma = 0.15$}
\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};
\addlegendentry{proximal, $\gamma = 0.01$}
\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};
\addlegendentry{hybrid, $\gamma = 0.01$}
\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};
\addlegendentry{proximal, $\gamma = 0.05$}
\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};
\addlegendentry{hybrid, $\gamma = 0.05$}
\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=0.35]
\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,
]
\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};
\addlegendentry{proximal, $\gamma = 0.15$}
\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};
\addlegendentry{hybrid, $\gamma = 0.15$}
\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};
\addlegendentry{proximal, $\gamma = 0.01$}
\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};
\addlegendentry{hybrid, $\gamma = 0.01$}
\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};
\addlegendentry{proximal, $\gamma = 0.05$}
\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};
\addlegendentry{hybrid, $\gamma = 0.05$}
\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}
\begin{subfigure}[c]{0.33\textwidth}
\centering
\begin{tikzpicture}[scale=0.35]
\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,
]
\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};
\addlegendentry{proximal, $\gamma = 0.15$}
\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};
\addlegendentry{hybrid, $\gamma = 0.15$}
\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};
\addlegendentry{proximal, $\gamma = 0.01$}
\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};
\addlegendentry{hybrid, $\gamma = 0.01$}
\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};
\addlegendentry{proximal, $\gamma = 0.05$}
\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};
\addlegendentry{hybrid, $\gamma = 0.05$}
\end{axis}
\end{tikzpicture}
\caption{BCH code with $n=31, k=26$}
\end{subfigure}%
\begin{subfigure}[c]{0.33\textwidth}
\centering
\begin{tikzpicture}[scale=0.35]
\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,
]
\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};
\addlegendentry{proximal, $\gamma = 0.15$}
\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};
\addlegendentry{hybrid, $\gamma = 0.15$}
\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};
\addlegendentry{proximal, $\gamma = 0.01$}
\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};
\addlegendentry{hybrid, $\gamma = 0.01$}
\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};
\addlegendentry{proximal, $\gamma = 0.05$}
\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};
\addlegendentry{hybrid, $\gamma = 0.05$}
\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=0.35]
\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,
]
\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};
\addlegendentry{proximal, $\gamma = 0.15$}
\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};
\addlegendentry{hybrid, $\gamma = 0.15$}
\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};
\addlegendentry{proximal, $\gamma = 0.01$}
\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};
\addlegendentry{hybrid, $\gamma = 0.01$}
\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};
\addlegendentry{proximal, $\gamma = 0.05$}
\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};
\addlegendentry{hybrid, $\gamma = 0.05$}
\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{frame}
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%\begin{frame}[t, fragile] %\begin{frame}[t, fragile]
% \frametitle{Proximal Decoding: Improvement using ``ML-on-List''} % \frametitle{Proximal Decoding: Improvement using ``ML-on-List''}