Moved *_proximal* to proximal/* (+ same thing for hybrid)
This commit is contained in:
parent
30033bd0f1
commit
cca2ec8e82
@ -1,239 +0,0 @@
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SNR,gamma,BER,FER,DFR,num_iterations
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1.0,0.0,0.13016889924286545,1.0,0.5,101.0
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1.5,0.0,0.11390992040380508,1.0,0.5,101.0
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2.0,0.0,0.10430013589594253,1.0,0.5,101.0
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2.5,0.0,0.09017666472529606,1.0,0.5,101.0
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3.0,0.0,0.08182877111240536,1.0,0.5,101.0
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3.5,0.0,0.06887012230634829,1.0,0.5,101.0
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4.0,0.0,0.057173364395263056,1.0,0.5,101.0
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4.5,0.0,0.04610755193166376,1.0,0.5,101.0
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5.0,0.0,0.03601242477188896,1.0,0.5,101.0
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5.5,0.0,0.03195886197616302,0.9901960784313726,0.4975369458128079,102.0
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6.0,0.0,0.02397592700446515,1.0,0.5,101.0
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6.5,0.0,0.017445213379469436,0.9901960784313726,0.4975369458128079,102.0
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7.0,0.0,0.01270053475935829,0.9181818181818182,0.4786729857819905,110.0
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7.5,0.0,0.007798573975044563,0.7651515151515151,0.4334763948497854,132.0
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1.0,0.01,0.09410794020578528,1.0,0.5,101.0
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1.5,0.01,0.06997308727412534,0.9901960784313726,0.4975369458128079,102.0
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2.0,0.01,0.05644393679802018,0.9805825242718447,0.4950980392156863,103.0
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2.5,0.01,0.03820780648708082,0.9439252336448598,0.4855769230769231,107.0
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3.0,0.01,0.025490196078431372,0.9181818181818182,0.4786729857819905,110.0
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3.5,0.01,0.014961954931226222,0.753731343283582,0.4297872340425532,134.0
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4.0,0.01,0.007832183152590644,0.5642458100558659,0.3607142857142857,179.0
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4.5,0.01,0.003332051774958349,0.3300653594771242,0.24815724815724816,306.0
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5.0,0.01,0.0017192128650021159,0.18165467625899281,0.1537290715372907,556.0
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5.5,0.01,0.0007640035685135623,0.09777347531461762,0.0890652557319224,1033.0
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6.0,0.01,0.0002406292110111927,0.03541374474053296,0.03420250592617677,2852.0
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6.5,0.01,9.533468559837728e-05,0.013931034482758621,0.01373962726159706,7250.0
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7.0,0.01,2.8408296271432968e-05,0.004502496433666191,0.004482314827142413,22432.0
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7.5,0.01,7.857008939650586e-06,0.001395567346487592,0.0013936224524995515,72372.0
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1.0,0.02,0.09030180699730873,0.9901960784313726,0.4975369458128079,102.0
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1.5,0.02,0.06522331154684095,0.9351851851851852,0.48325358851674644,108.0
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2.0,0.02,0.049919050188882895,0.926605504587156,0.48095238095238096,109.0
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2.5,0.02,0.028994576554025864,0.7163120567375887,0.41735537190082644,141.0
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3.0,0.02,0.01815435476516188,0.5872093023255814,0.36996336996337,172.0
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3.5,0.02,0.009278711484593838,0.4007936507936508,0.28611898016997167,252.0
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4.0,0.02,0.003515158519203359,0.19842829076620824,0.16557377049180327,509.0
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4.5,0.02,0.0013487523022509087,0.08395677472984206,0.07745398773006135,1203.0
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5.0,0.02,0.0004013143719026072,0.027747252747252746,0.026998128842555466,3640.0
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5.5,0.02,0.00016504731356322146,0.011449948985375808,0.011320331764178435,8821.0
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6.0,0.02,4.437431042911285e-05,0.0030375026314998044,0.0030283041496761815,33251.0
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6.5,0.02,1.2192094202770043e-05,0.000845811141258835,0.0008450963493511167,119412.0
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7.0,0.02,2.764705882352941e-06,0.000196,0.0001959615915280605,500000.0
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7.5,0.02,6.96078431372549e-07,4.8e-05,4.799769611058669e-05,500000.0
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1.0,0.03,0.09037692747001713,0.9805825242718447,0.4950980392156863,103.0
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1.5,0.03,0.06437619295505813,0.8938053097345132,0.4719626168224299,113.0
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2.0,0.03,0.04964273845131273,0.8559322033898306,0.4611872146118721,118.0
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2.5,0.03,0.026193913148081317,0.6196319018404908,0.38257575757575757,163.0
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3.0,0.03,0.01603641456582633,0.48095238095238096,0.3247588424437299,210.0
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3.5,0.03,0.007452113793494276,0.29190751445086704,0.22595078299776286,346.0
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4.0,0.03,0.0028573605608046325,0.13082901554404144,0.1156930126002291,772.0
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4.5,0.03,0.0010247036667774454,0.05706214689265537,0.053981827899518976,1770.0
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5.0,0.03,0.0003044266400985235,0.017819336626676077,0.01750736696134512,5668.0
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5.5,0.03,0.00012169749196725593,0.007310364794441228,0.007257311202126895,13816.0
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6.0,0.03,3.56236823804658e-05,0.0020911406033251208,0.002086776859504132,48299.0
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6.5,0.03,1.0374588367264038e-05,0.0006638447786307709,0.0006634043810962593,152144.0
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7.0,0.03,2.3627450980392157e-06,0.000152,0.0001519768995112743,500000.0
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7.5,0.03,5.196078431372548e-07,3.4e-05,3.3998844039302665e-05,500000.0
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1.0,0.04,0.09207362190159082,0.9528301886792453,0.48792270531400966,106.0
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1.5,0.04,0.06675191815856778,0.8782608695652174,0.4675925925925926,115.0
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2.0,0.04,0.04750233426704015,0.8015873015873016,0.44493392070484583,126.0
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2.5,0.04,0.026018099547511313,0.5976331360946746,0.37407407407407406,169.0
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3.0,0.04,0.012881896944824441,0.39147286821705424,0.28133704735376047,258.0
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3.5,0.04,0.0065840061514802,0.24754901960784315,0.19842829076620824,408.0
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4.0,0.04,0.0026100649280614337,0.1111111111111111,0.1,909.0
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4.5,0.04,0.0009278379283402166,0.04791271347248577,0.045722046174739704,2108.0
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5.0,0.04,0.0002976899261728983,0.016356275303643725,0.016093052899936264,6175.0
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5.5,0.04,0.00011358050437191844,0.006394023803494555,0.0063534000125809904,15796.0
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6.0,0.04,4.008014206588538e-05,0.0023460546793338134,0.0023405635891731555,43051.0
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6.5,0.04,1.0293767220940665e-05,0.0006446589052287582,0.000644243587862706,156672.0
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7.0,0.04,2.450980392156863e-06,0.000154,0.00015397628765170164,500000.0
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7.5,0.04,6.176470588235294e-07,4e-05,3.999840006399744e-05,500000.0
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1.0,0.05,0.0947558268590455,0.9528301886792453,0.48792270531400966,106.0
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1.5,0.05,0.06581415174765558,0.8782608695652174,0.4675925925925926,115.0
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2.0,0.05,0.047244094488188976,0.7952755905511811,0.44298245614035087,127.0
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2.5,0.05,0.02558940242763772,0.6011904761904762,0.3754646840148699,168.0
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3.0,0.05,0.012649629140045532,0.3782771535580524,0.27445652173913043,267.0
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3.5,0.05,0.00588833094213295,0.20528455284552846,0.1703204047217538,492.0
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4.0,0.05,0.002538604818842757,0.10316649642492338,0.09351851851851851,979.0
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4.5,0.05,0.0009202565784678184,0.046933085501858735,0.044829116733244564,2152.0
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5.0,0.05,0.0002940220301384533,0.01641742522756827,0.01615224692147769,6152.0
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5.5,0.05,0.00011692575119219662,0.006564409203171715,0.006521598760250533,15386.0
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6.0,0.05,3.577639534879112e-05,0.002041930331763136,0.0020377693487208456,49463.0
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6.5,0.05,1.0852103196792829e-05,0.0006775658614143013,0.0006771070767745569,149063.0
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7.0,0.05,2.3725490196078433e-06,0.00015,0.00014997750337449384,500000.0
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7.5,0.05,6.568627450980392e-07,4.2e-05,4.199823607408489e-05,500000.0
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1.0,0.06,0.0957732149463559,0.9528301886792453,0.48792270531400966,106.0
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1.5,0.06,0.06699346405228758,0.8632478632478633,0.463302752293578,117.0
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2.0,0.06,0.05048633626679018,0.7952755905511811,0.44298245614035087,127.0
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2.5,0.06,0.026059274284426413,0.5804597701149425,0.36727272727272725,174.0
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3.0,0.06,0.012814863773224645,0.3782771535580524,0.27445652173913043,267.0
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3.5,0.06,0.006304073735924525,0.22394678492239467,0.18297101449275363,451.0
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4.0,0.06,0.0025645685668706205,0.10401647785787847,0.09421641791044776,971.0
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4.5,0.06,0.0008676426545460951,0.04537286612758311,0.04340352385045122,2226.0
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5.0,0.06,0.0003190777623385312,0.017672790901137356,0.01736588720770289,5715.0
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5.5,0.06,0.00012802567341504216,0.00732733604178758,0.00727403673028448,13784.0
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6.0,0.06,3.7053184014162366e-05,0.0021265844106623994,0.0021220716461813217,47494.0
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6.5,0.06,1.0274078481140562e-05,0.0006473612019125999,0.00064694239650523,156018.0
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7.0,0.06,2.46078431372549e-06,0.000156,0.00015597566779582386,500000.0
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7.5,0.06,5.490196078431373e-07,3.6e-05,3.599870404665432e-05,500000.0
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1.0,0.07,0.09734554199038106,0.9528301886792453,0.48792270531400966,106.0
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1.5,0.07,0.06668356997971603,0.8706896551724138,0.46543778801843316,116.0
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2.0,0.07,0.0509344362745098,0.7890625,0.4410480349344978,128.0
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2.5,0.07,0.026284651791751185,0.5804597701149425,0.36727272727272725,174.0
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3.0,0.07,0.01309025482852317,0.3782771535580524,0.27445652173913043,267.0
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3.5,0.07,0.006422119409561578,0.22696629213483147,0.184981684981685,445.0
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4.0,0.07,0.002640349738129247,0.11147902869757174,0.1002979145978153,906.0
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4.5,0.07,0.0009502336090686274,0.04931640625,0.04699860400186133,2048.0
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5.0,0.07,0.0003310118602339736,0.018090632276553824,0.01776917663617171,5583.0
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5.5,0.07,0.00011619651767974708,0.0065772336545975515,0.006534256323995601,15356.0
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6.0,0.07,3.877701447136334e-05,0.002250596073712592,0.002245542265107386,44877.0
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6.5,0.07,1.1830786200915143e-05,0.0007386712693444109,0.0007381260368478364,136732.0
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7.0,0.07,2.7549019607843135e-06,0.000172,0.00017197042108757293,500000.0
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7.5,0.07,4.901960784313725e-07,3.2e-05,3.199897603276695e-05,500000.0
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1.0,0.08,0.09487813817115631,0.9439252336448598,0.4855769230769231,107.0
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1.5,0.08,0.06786680189317106,0.8706896551724138,0.46543778801843316,116.0
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2.0,0.08,0.05188536953242836,0.7769230769230769,0.43722943722943725,130.0
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2.5,0.08,0.027359781121751026,0.5872093023255814,0.36996336996337,172.0
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3.0,0.08,0.01338979171435111,0.39299610894941633,0.28212290502793297,257.0
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3.5,0.08,0.006565126050420168,0.22544642857142858,0.18397085610200364,448.0
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4.0,0.08,0.0026592336280917596,0.11002178649237472,0.09911678115799803,918.0
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4.5,0.08,0.0010749450642325896,0.05441810344827586,0.0516096065406234,1856.0
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5.0,0.08,0.00036965605914496947,0.019479267116682738,0.01910707529322739,5185.0
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5.5,0.08,0.00012361614795691875,0.007035876001393243,0.0069867183176535695,14355.0
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6.0,0.08,4.2284025381882086e-05,0.002461073612904798,0.002455031599416626,41039.0
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6.5,0.08,1.2240792065738477e-05,0.0007551176039595078,0.0007545478316088305,133754.0
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7.0,0.08,2.715686274509804e-06,0.000172,0.00017197042108757293,500000.0
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7.5,0.08,5.588235294117647e-07,3.6e-05,3.599870404665432e-05,500000.0
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1.0,0.09,0.09762301146873843,0.9528301886792453,0.48792270531400966,106.0
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1.5,0.09,0.06987444100447196,0.8859649122807017,0.4697674418604651,114.0
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2.0,0.09,0.0531496062992126,0.7952755905511811,0.44298245614035087,127.0
|
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2.5,0.09,0.028342245989304814,0.6121212121212121,0.37969924812030076,165.0
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3.0,0.09,0.015068990559186637,0.4156378600823045,0.2936046511627907,243.0
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3.5,0.09,0.006645114942528735,0.21767241379310345,0.17876106194690267,464.0
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4.0,0.09,0.0026683622451197774,0.11197339246119734,0.10069790628115653,902.0
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4.5,0.09,0.0011544262675484394,0.059763313609467454,0.056393076493579004,1690.0
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5.0,0.09,0.000323066434669353,0.017471025774087528,0.01717103026181571,5781.0
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5.5,0.09,0.00013994339191245457,0.008122235625251308,0.008056796426292279,12435.0
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6.0,0.09,4.0161512455483895e-05,0.0023244039399797477,0.0023190136155947926,43452.0
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6.5,0.09,1.2820099459406346e-05,0.0007908542792263723,0.0007902293229847196,127710.0
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7.0,0.09,2.9901960784313724e-06,0.000188,0.00018796466264342303,500000.0
|
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7.5,0.09,8.431372549019608e-07,5.4e-05,5.39970841574555e-05,500000.0
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||||
1.0,0.1,0.09863478101520982,0.9439252336448598,0.4855769230769231,107.0
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||||
1.5,0.1,0.07107843137254902,0.9017857142857143,0.47417840375586856,112.0
|
||||
2.0,0.1,0.0548406862745098,0.7890625,0.4410480349344978,128.0
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||||
2.5,0.1,0.030971479500891266,0.6558441558441559,0.396078431372549,154.0
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3.0,0.1,0.013721912122513238,0.3686131386861314,0.2693333333333333,274.0
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3.5,0.1,0.007117601138816182,0.23653395784543327,0.19128787878787878,427.0
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4.0,0.1,0.003256827969932857,0.1377899045020464,0.1211031175059952,733.0
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4.5,0.1,0.0010676841344484178,0.04834849210148397,0.046118721461187215,2089.0
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5.0,0.1,0.000391496273499491,0.02001585414189457,0.01962308140664465,5046.0
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5.5,0.1,0.00013110636765910645,0.007300852970941159,0.007247936849659132,13834.0
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6.0,0.1,4.6469698333988914e-05,0.0027123559900099365,0.0027050190154802077,37237.0
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6.5,0.1,1.4358482214932788e-05,0.000860006301036265,0.0008592673257218697,117441.0
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7.0,0.1,3.107843137254902e-06,0.000198,0.00019796080376085535,500000.0
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7.5,0.1,8.627450980392156e-07,5.4e-05,5.39970841574555e-05,500000.0
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1.0,0.11,0.09868059373282023,0.9439252336448598,0.4855769230769231,107.0
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1.5,0.11,0.07357317927170869,0.9017857142857143,0.47417840375586856,112.0
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2.0,0.11,0.05273321449792038,0.7651515151515151,0.4334763948497854,132.0
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2.5,0.11,0.033249484004127965,0.6644736842105263,0.39920948616600793,152.0
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3.0,0.11,0.014938457134678689,0.3686131386861314,0.2693333333333333,274.0
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3.5,0.11,0.00837662033787262,0.24105011933174225,0.19423076923076923,419.0
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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
|
||||
|
@ -1,8 +0,0 @@
|
||||
{
|
||||
"duration": 1056.983127202002,
|
||||
"name": "2d_BER_FER_DFR_20433484",
|
||||
"platform": "Linux-6.1.6-arch1-1-x86_64-with-glibc2.36",
|
||||
"omega": 0.05,
|
||||
"K": 200,
|
||||
"end_time": "2023-01-17 18:58:33.496993"
|
||||
}
|
||||
@ -0,0 +1,31 @@
|
||||
SNR,gamma,BER,FER,DFR,num_iterations
|
||||
1.0,0.01,0.1282760629004077,1.0,0.5,101.0
|
||||
1.5,0.01,0.10891089108910891,1.0,0.5,101.0
|
||||
2.0,0.01,0.0815592903828198,0.9619047619047619,0.49029126213592233,105.0
|
||||
2.5,0.01,0.05990286022665947,0.926605504587156,0.48095238095238096,109.0
|
||||
3.0,0.01,0.03941495297305914,0.8211382113821138,0.45089285714285715,123.0
|
||||
3.5,0.01,0.02159746251441753,0.5941176470588235,0.3726937269372694,170.0
|
||||
4.0,0.01,0.008099504169483886,0.29022988505747127,0.22494432071269488,348.0
|
||||
4.5,0.01,0.003413511153449234,0.13630229419703105,0.11995249406175772,741.0
|
||||
5.0,0.01,0.0007971804984475959,0.048026628625772706,0.04582577132486389,2103.0
|
||||
5.5,0.01,0.00014528144415937685,0.010614818707304257,0.01050332778702163,9515.0
|
||||
1.0,0.05,0.13312948941953018,1.0,0.5,101.0
|
||||
1.5,0.05,0.11264991433466591,0.9805825242718447,0.4950980392156863,103.0
|
||||
2.0,0.05,0.08948390677025528,0.9528301886792453,0.48792270531400966,106.0
|
||||
2.5,0.05,0.06017854296190021,0.8211382113821138,0.45089285714285715,123.0
|
||||
3.0,0.05,0.03815004262574595,0.6273291925465838,0.38549618320610685,161.0
|
||||
3.5,0.05,0.01944624003447533,0.36996336996337,0.2700534759358289,273.0
|
||||
4.0,0.05,0.007252326217843459,0.16584564860426929,0.14225352112676057,609.0
|
||||
4.5,0.05,0.0021536038238009884,0.05595567867036011,0.05299055613850997,1805.0
|
||||
5.0,0.05,0.0004567736185383244,0.012752525252525253,0.01259194614137888,7920.0
|
||||
5.5,0.05,5.7238650812895664e-05,0.0018341293333575463,0.0018307714617169374,55067.0
|
||||
1.0,0.15,0.4978644923315861,1.0,0.5,101.0
|
||||
1.5,0.15,0.5006309454474859,1.0,0.5,101.0
|
||||
2.0,0.15,0.5033973985633857,1.0,0.5,101.0
|
||||
2.5,0.15,0.47709182682974177,1.0,0.5,101.0
|
||||
3.0,0.15,0.47005435837701415,1.0,0.5,101.0
|
||||
3.5,0.15,0.4798097456804504,1.0,0.5,101.0
|
||||
4.0,0.15,0.4680159192389827,1.0,0.5,101.0
|
||||
4.5,0.15,0.451465734808775,1.0,0.5,101.0
|
||||
5.0,0.15,0.40695981362842165,1.0,0.5,101.0
|
||||
5.5,0.15,0.33649132730015086,0.9711538461538461,0.4926829268292683,104.0
|
||||
|
@ -0,0 +1,9 @@
|
||||
{
|
||||
"duration": 55.621502028021496,
|
||||
"name": "2d_BER_FER_DFR_20455187",
|
||||
"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 08:55:18.173639"
|
||||
}
|
||||
@ -0,0 +1,31 @@
|
||||
SNR,gamma,BER,FER,DFR,num_iterations
|
||||
1.0,0.01,0.0918025626092021,1.0,0.5,101.0
|
||||
1.5,0.01,0.07178217821782178,1.0,0.5,101.0
|
||||
2.0,0.01,0.05319355464958261,1.0,0.5,101.0
|
||||
2.5,0.01,0.037701845444059974,0.9901960784313726,0.4975369458128079,102.0
|
||||
3.0,0.01,0.024914334665905195,0.9805825242718447,0.4950980392156863,103.0
|
||||
3.5,0.01,0.014256161180068358,0.926605504587156,0.48095238095238096,109.0
|
||||
4.0,0.01,0.00819607843137255,0.808,0.4469026548672566,125.0
|
||||
4.5,0.01,0.003703703703703704,0.5611111111111111,0.3594306049822064,180.0
|
||||
5.0,0.01,0.0017734056079769791,0.3447098976109215,0.2563451776649746,293.0
|
||||
5.5,0.01,0.0007903353279891611,0.19385796545105566,0.16237942122186494,521.0
|
||||
1.0,0.05,0.08972510572856593,0.9901960784313726,0.4975369458128079,102.0
|
||||
1.5,0.05,0.06624649859943978,0.9619047619047619,0.49029126213592233,105.0
|
||||
2.0,0.05,0.04635172653132049,0.8938053097345132,0.4719626168224299,113.0
|
||||
2.5,0.05,0.024525719378660556,0.6558441558441559,0.396078431372549,154.0
|
||||
3.0,0.05,0.010826771653543307,0.39763779527559057,0.28450704225352114,254.0
|
||||
3.5,0.05,0.004023473188558577,0.18100358422939067,0.15326251896813353,558.0
|
||||
4.0,0.05,0.0010486080573690086,0.05807935595169638,0.05489130434782609,1739.0
|
||||
4.5,0.05,0.00020709882532053673,0.012814006597310327,0.01265188525616936,7882.0
|
||||
5.0,0.05,3.131208430508767e-05,0.002224669603524229,0.0022197314344739676,45400.0
|
||||
5.5,0.05,6.4252223396991424e-06,0.00046369625599706175,0.00046348134143431416,217815.0
|
||||
1.0,0.15,0.3438895360124248,1.0,0.5,101.0
|
||||
1.5,0.15,0.34032226752086975,1.0,0.5,101.0
|
||||
2.0,0.15,0.33034847602407297,1.0,0.5,101.0
|
||||
2.5,0.15,0.32974179770918266,1.0,0.5,101.0
|
||||
3.0,0.15,0.3295476606484178,1.0,0.5,101.0
|
||||
3.5,0.15,0.32175791108522617,1.0,0.5,101.0
|
||||
4.0,0.15,0.3154241894777713,1.0,0.5,101.0
|
||||
4.5,0.15,0.32195204814599104,1.0,0.5,101.0
|
||||
5.0,0.15,0.3212483013007183,1.0,0.5,101.0
|
||||
5.5,0.15,0.31752210688196847,0.9901960784313726,0.4975369458128079,102.0
|
||||
|
@ -0,0 +1,9 @@
|
||||
{
|
||||
"duration": 871.6730747620168,
|
||||
"name": "2d_BER_FER_DFR_40833844",
|
||||
"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 09:12:00.353386"
|
||||
}
|
||||
@ -0,0 +1,31 @@
|
||||
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
|
||||
2.0,0.01,0.05845385674931129,0.8347107438016529,0.45248868778280543,121.0
|
||||
2.5,0.01,0.04104938271604938,0.7481481481481481,0.425531914893617,135.0
|
||||
3.0,0.01,0.02481785063752277,0.5519125683060109,0.35563380281690143,183.0
|
||||
3.5,0.01,0.01668552036199095,0.45701357466063347,0.3136645962732919,221.0
|
||||
4.0,0.01,0.009225217864923748,0.3300653594771242,0.24815724815724816,306.0
|
||||
4.5,0.01,0.0038886542792792795,0.17060810810810811,0.14574314574314573,592.0
|
||||
5.0,0.01,0.0018921095008051529,0.09758454106280193,0.08890845070422536,1035.0
|
||||
5.5,0.01,0.0008550995024875622,0.04710820895522388,0.04498886414253898,2144.0
|
||||
1.0,0.05,0.09079861111111111,0.8416666666666667,0.45701357466063347,120.0
|
||||
1.5,0.05,0.06677704194260485,0.6688741721854304,0.396,151.0
|
||||
2.0,0.05,0.050011510128913444,0.5580110497237569,0.3489208633093525,181.0
|
||||
2.5,0.05,0.03151611922141119,0.3686131386861314,0.26541554959785524,274.0
|
||||
3.0,0.05,0.01758841234010534,0.22799097065462753,0.18265682656826568,443.0
|
||||
3.5,0.05,0.006907068532472192,0.10871905274488698,0.09365853658536585,929.0
|
||||
4.0,0.05,0.003318484521238301,0.05453563714902808,0.04879301489470981,1852.0
|
||||
4.5,0.05,0.0010753547719105914,0.018454229855655035,0.01794365691727974,5473.0
|
||||
5.0,0.05,0.0003437132188806364,0.006148788506027031,0.005629880743386404,16426.0
|
||||
5.5,0.05,9.290550348976298e-05,0.0017593979723373864,0.0016521451800838246,57406.0
|
||||
1.0,0.15,0.399236798679868,1.0,0.5,101.0
|
||||
1.5,0.15,0.38721955128205127,0.9711538461538461,0.4926829268292683,104.0
|
||||
2.0,0.15,0.3641141141141141,0.9099099099099099,0.47393364928909953,111.0
|
||||
2.5,0.15,0.34692028985507245,0.8782608695652174,0.4675925925925926,115.0
|
||||
3.0,0.15,0.31012139107611547,0.7952755905511811,0.44052863436123346,127.0
|
||||
3.5,0.15,0.2872767857142857,0.7214285714285714,0.41422594142259417,140.0
|
||||
4.0,0.15,0.23815104166666667,0.63125,0.3798449612403101,160.0
|
||||
4.5,0.15,0.2106729055258467,0.5401069518716578,0.34843205574912894,187.0
|
||||
5.0,0.15,0.19948186528497408,0.5233160621761658,0.3412969283276451,193.0
|
||||
5.5,0.15,0.17773729446935724,0.452914798206278,0.3117283950617284,223.0
|
||||
|
@ -0,0 +1,9 @@
|
||||
{
|
||||
"duration": 12.159791988000507,
|
||||
"name": "2d_BER_FER_DFR_963965",
|
||||
"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 09:16:22.859899"
|
||||
}
|
||||
@ -0,0 +1,31 @@
|
||||
SNR,gamma,BER,FER,DFR,num_iterations
|
||||
1.0,0.01,0.14838709677419354,0.8782608695652174,0.46261682242990654,115.0
|
||||
1.5,0.01,0.13515016685205783,0.8706896551724138,0.46296296296296297,116.0
|
||||
2.0,0.01,0.1074401664932362,0.8145161290322581,0.4488888888888889,124.0
|
||||
2.5,0.01,0.08372865275142315,0.7426470588235294,0.423728813559322,136.0
|
||||
3.0,0.01,0.06555671175858481,0.6516129032258065,0.39453125,155.0
|
||||
3.5,0.01,0.04821366631980576,0.543010752688172,0.3519163763066202,186.0
|
||||
4.0,0.01,0.03350354963258189,0.38996138996138996,0.28055555555555556,259.0
|
||||
4.5,0.01,0.026089594498938214,0.3166144200626959,0.24047619047619048,319.0
|
||||
5.0,0.01,0.018746833305184934,0.2643979057591623,0.2074688796680498,382.0
|
||||
5.5,0.01,0.010534359478194422,0.17089678510998307,0.14595375722543352,591.0
|
||||
1.0,0.05,0.1447132616487455,0.7013888888888888,0.4024896265560166,144.0
|
||||
1.5,0.05,0.12072628935677034,0.6047904191616766,0.36981132075471695,167.0
|
||||
2.0,0.05,0.09547738693467336,0.507537688442211,0.32996632996632996,199.0
|
||||
2.5,0.05,0.06649586584371725,0.36462093862815886,0.2553763440860215,277.0
|
||||
3.0,0.05,0.05501152073732719,0.3005952380952381,0.21495327102803738,336.0
|
||||
3.5,0.05,0.037402669632925475,0.21767241379310345,0.17142857142857143,464.0
|
||||
4.0,0.05,0.026206388464979215,0.16476345840130505,0.13904494382022473,613.0
|
||||
4.5,0.05,0.017434803398683193,0.11516533637400228,0.10051282051282051,877.0
|
||||
5.0,0.05,0.009589656870090116,0.06702057067020571,0.06164383561643835,1507.0
|
||||
5.5,0.05,0.004745740724725417,0.033847184986595176,0.03148328464784161,2984.0
|
||||
1.0,0.15,0.49738863287250384,0.9619047619047619,0.49029126213592233,105.0
|
||||
1.5,0.15,0.4353358981947322,0.926605504587156,0.48095238095238096,109.0
|
||||
2.0,0.15,0.41557686718977044,0.9099099099099099,0.47393364928909953,111.0
|
||||
2.5,0.15,0.43534833288153973,0.8487394957983193,0.45161290322580644,119.0
|
||||
3.0,0.15,0.43812797461660496,0.8278688524590164,0.45045045045045046,122.0
|
||||
3.5,0.15,0.3939753320683112,0.7426470588235294,0.42127659574468085,136.0
|
||||
4.0,0.15,0.35328142380422695,0.696551724137931,0.40816326530612246,145.0
|
||||
4.5,0.15,0.26468155500413565,0.517948717948718,0.33447098976109213,195.0
|
||||
5.0,0.15,0.241321044546851,0.48095238095238096,0.3181818181818182,210.0
|
||||
5.5,0.15,0.22509277761918356,0.4469026548672566,0.3046153846153846,226.0
|
||||
|
@ -0,0 +1,9 @@
|
||||
{
|
||||
"duration": 1.3552583850105293,
|
||||
"name": "2d_BER_FER_DFR_bch_31_11",
|
||||
"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 16:50:35.259895"
|
||||
}
|
||||
@ -0,0 +1,31 @@
|
||||
SNR,gamma,BER,FER,DFR,num_iterations
|
||||
1.0,0.01,0.1076036866359447,0.7214285714285714,0.014084507042253521,140.0
|
||||
1.5,0.01,0.09863523573200993,0.6474358974358975,0.006369426751592357,156.0
|
||||
2.0,0.01,0.06782464846980976,0.517948717948718,0.01015228426395939,195.0
|
||||
2.5,0.01,0.05789547823637132,0.4410480349344978,0.01293103448275862,229.0
|
||||
3.0,0.01,0.040507667900581704,0.33114754098360655,0.022435897435897436,305.0
|
||||
3.5,0.01,0.03225806451612903,0.24634146341463414,0.0024330900243309003,410.0
|
||||
4.0,0.01,0.021353930031803726,0.17781690140845072,0.01217391304347826,568.0
|
||||
4.5,0.01,0.013437889859205132,0.11160220994475138,0.006586169045005488,905.0
|
||||
5.0,0.01,0.0063573012906718825,0.05468327016783974,0.0021609940572663426,1847.0
|
||||
5.5,0.01,0.0027177400481643932,0.023636789141118653,0.00046783625730994154,4273.0
|
||||
1.0,0.05,0.08720083246618106,0.6516129032258065,0.00641025641025641,155.0
|
||||
1.5,0.05,0.0712799167533819,0.543010752688172,0.0053475935828877,186.0
|
||||
2.0,0.05,0.06328137058187992,0.48325358851674644,0.0,209.0
|
||||
2.5,0.05,0.04130340017436791,0.34121621621621623,0.010033444816053512,296.0
|
||||
3.0,0.05,0.02823529411764706,0.2376470588235294,0.009324009324009324,425.0
|
||||
3.5,0.05,0.021330060776063583,0.18297101449275363,0.0018083182640144665,552.0
|
||||
4.0,0.05,0.014593883328681367,0.12484548825710753,0.0,809.0
|
||||
4.5,0.05,0.006654567453115548,0.06110102843315184,0.0006045949214026602,1653.0
|
||||
5.0,0.05,0.0034803386837047425,0.032528180354267314,0.0003219575016097875,3105.0
|
||||
5.5,0.05,0.0017559403087039132,0.01671078755790867,0.000496113775425831,6044.0
|
||||
1.0,0.15,0.31174587540014775,0.7709923664122137,0.0,131.0
|
||||
1.5,0.15,0.32302867383512546,0.7013888888888888,0.0,144.0
|
||||
2.0,0.15,0.2903225806451613,0.6474358974358975,0.012658227848101266,156.0
|
||||
2.5,0.15,0.20661703887510338,0.517948717948718,0.00510204081632653,195.0
|
||||
3.0,0.15,0.20477476197243144,0.44493392070484583,0.0043859649122807015,227.0
|
||||
3.5,0.15,0.14526953886122537,0.3389261744966443,0.0,298.0
|
||||
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
|
||||
|
@ -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"
|
||||
}
|
||||
@ -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
|
||||
|
@ -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"
|
||||
}
|
||||
@ -18,11 +18,11 @@
|
||||
legend style={at={(0.05,0.77)},anchor=south west},
|
||||
]
|
||||
\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}
|
||||
|
||||
\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 ($\SI{12}{\bit}$)}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -75,7 +75,7 @@
|
||||
colormap/rocket,
|
||||
-stealth,
|
||||
]
|
||||
table[col sep=comma] {res/2d_grad_L.csv};
|
||||
table[col sep=comma] {res/proximal/2d_grad_L.csv};
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
|
||||
@ -106,7 +106,7 @@
|
||||
colormap/rocket,
|
||||
-stealth,
|
||||
]
|
||||
table[col sep=comma] {res/2d_grad_rep.csv};
|
||||
table[col sep=comma] {res/proximal/2d_grad_h.csv};
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
|
||||
|
||||
@ -36,15 +36,15 @@
|
||||
]
|
||||
\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{$\gamma = 0.15$}
|
||||
\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{$\gamma = 0.01$}
|
||||
\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{$\gamma = 0.05$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -97,7 +97,7 @@
|
||||
\foreach \gamma in {0.01, 0.05, 0.15}{
|
||||
\addplot table [x=SNR, y=BER,
|
||||
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{$\gamma=0.01$, $\gamma=0.05$, $\gamma=0.15$}
|
||||
@ -117,22 +117,22 @@
|
||||
mesh/rows=17, mesh/cols=14,
|
||||
colormap/viridis] table [col sep=comma,
|
||||
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] $}
|
||||
\addplot3[red, line width=1.5] table [col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{$\gamma = 0.05$}
|
||||
\addplot3[blue, line width=1.5] table [col sep=comma,
|
||||
discard if not={gamma}{0.01},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{$\gamma = 0.01$}
|
||||
\addplot3[brown, line width=1.5] table [col sep=comma,
|
||||
discard if not={gamma}{0.15},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{$\gamma = 0.15$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -168,22 +168,22 @@
|
||||
mesh/rows=17, mesh/cols=10,
|
||||
colormap/viridis] table [col sep=comma,
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_963965.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_963965.csv};
|
||||
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
|
||||
\addplot3[red, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_963965.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_963965.csv};
|
||||
\addlegendentry{$\gamma = 0.05$}
|
||||
\addplot3[blue, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.01},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_963965.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_963965.csv};
|
||||
\addlegendentry{$\gamma = 0.01$}
|
||||
\addplot3[brown, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.15},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_963965.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_963965.csv};
|
||||
\addlegendentry{$\gamma = 0.15$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -201,22 +201,22 @@
|
||||
mesh/rows=17, mesh/cols=14,
|
||||
colormap/viridis] table [col sep=comma,
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20433484.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
|
||||
\addplot3[red, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20433484.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{$\gamma = 0.05$}
|
||||
\addplot3[blue, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.01},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20433484.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{$\gamma = 0.01$}
|
||||
\addplot3[brown, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.15},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20433484.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{$\gamma = 0.15$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -234,22 +234,22 @@
|
||||
mesh/rows=17, mesh/cols=10,
|
||||
colormap/viridis] table [col sep=comma,
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_40833844.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_40833844.csv};
|
||||
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
|
||||
\addplot3[red, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_40833844.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_40833844.csv};
|
||||
\addlegendentry{$\gamma = 0.05$}
|
||||
\addplot3[blue, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.01},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_40833844.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_40833844.csv};
|
||||
\addlegendentry{$\gamma = 0.01$}
|
||||
\addplot3[brown, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.15},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_40833844.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_40833844.csv};
|
||||
\addlegendentry{$\gamma = 0.15$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -267,22 +267,22 @@
|
||||
mesh/rows=17, mesh/cols=10,
|
||||
colormap/viridis] table [col sep=comma,
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
|
||||
\addplot3[red, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
\addlegendentry{$\gamma = 0.05$}
|
||||
\addplot3[blue, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.01},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
\addlegendentry{$\gamma = 0.01$}
|
||||
\addplot3[brown, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.15},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_bch_31_26.csv};
|
||||
\addlegendentry{$\gamma = 0.15$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -300,22 +300,22 @@
|
||||
mesh/rows=17, mesh/cols=10,
|
||||
colormap/viridis] table [col sep=comma,
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20455187.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20455187.csv};
|
||||
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
|
||||
\addplot3[red, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20455187.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20455187.csv};
|
||||
\addlegendentry{$\gamma = 0.05$}
|
||||
\addplot3[blue, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.01},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20455187.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20455187.csv};
|
||||
\addlegendentry{$\gamma = 0.01$}
|
||||
\addplot3[brown, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.15},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_20455187.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20455187.csv};
|
||||
\addlegendentry{$\gamma = 0.15$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -333,22 +333,22 @@
|
||||
mesh/rows=17, mesh/cols=10,
|
||||
colormap/viridis] table [col sep=comma,
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
\addlegendentry{$\gamma = \left[ 0\text{:}.01\text{:}.16 \right] $}
|
||||
\addplot3[red, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
\addlegendentry{$\gamma = 0.05$}
|
||||
\addplot3[blue, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.01},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
\addlegendentry{$\gamma = 0.01$}
|
||||
\addplot3[brown, line width=1.5] table[col sep=comma,
|
||||
discard if not={gamma}{0.15},
|
||||
x=SNR, y=gamma, z=BER]
|
||||
{res/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_pegreg252x504.csv};
|
||||
\addlegendentry{$\gamma = 0.15$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -408,13 +408,13 @@ Output $\boldsymbol{\hat{x}}$
|
||||
ymax=1.5, ymin=3e-7,
|
||||
]
|
||||
\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{$\gamma = 0.15$}
|
||||
\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{$\gamma = 0.01$}
|
||||
\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{$\gamma = 0.05$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -427,13 +427,13 @@ Output $\boldsymbol{\hat{x}}$
|
||||
ymax=1.5, ymin=3e-7,
|
||||
]
|
||||
\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{$\gamma = 0.15$}
|
||||
\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{$\gamma = 0.01$}
|
||||
\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{$\gamma = 0.05$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}\\
|
||||
@ -446,13 +446,13 @@ Output $\boldsymbol{\hat{x}}$
|
||||
ymax=1.5, ymin=3e-7,
|
||||
]
|
||||
\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{$\gamma = 0.15$}
|
||||
\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{$\gamma = 0.01$}
|
||||
\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{$\gamma = 0.05$}
|
||||
\end{axis}
|
||||
\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}]
|
||||
% {res/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
% \addlegendentry{proximal}
|
||||
% \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}
|
||||
% \end{axis}
|
||||
% \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}]
|
||||
% {res/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
% \addlegendentry{proximal}
|
||||
% \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}
|
||||
% \end{axis}
|
||||
% \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}]
|
||||
% {res/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
% {res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
% \addlegendentry{proximal}
|
||||
% \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}
|
||||
% \end{axis}
|
||||
% \end{tikzpicture}
|
||||
@ -593,7 +593,7 @@ Output $\boldsymbol{\hat{x}}$
|
||||
\addplot table [col sep=comma,
|
||||
discard if not={gamma}{0.05},
|
||||
x=SNR, y=BER]
|
||||
{res/2d_ber_fer_dfr_20433484.csv};
|
||||
{res/proximal/2d_ber_fer_dfr_20433484.csv};
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
|
||||
@ -695,29 +695,29 @@ $\textcolor{KITblue}{\text{Output }\boldsymbol{\tilde{x}}_n\text{ with lowest }d
|
||||
]
|
||||
\addplot[ForestGreen, mark=*, solid]
|
||||
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, $\gamma = 0.15$}
|
||||
\addplot[Emerald, mark=triangle, densely dashed]
|
||||
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 $\gamma = 0.15$}
|
||||
|
||||
\addplot[NavyBlue, mark=*, solid]
|
||||
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, $\gamma = 0.01$}
|
||||
\addplot[RoyalPurple, mark=triangle, densely dashed]
|
||||
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, $\gamma = 0.01$}
|
||||
|
||||
\addplot[RedOrange, mark=*, solid]
|
||||
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, $\gamma = 0.05$}
|
||||
\addplot[red, mark=triangle, densely dashed]
|
||||
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, $\gamma = 0.05$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
@ -733,30 +733,30 @@ $\textcolor{KITblue}{\text{Output }\boldsymbol{\tilde{x}}_n\text{ with lowest }d
|
||||
|
||||
\addplot[ForestGreen, mark=*, solid]
|
||||
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, $\gamma = 0.15$}
|
||||
\addplot[Emerald, mark=triangle, densely dashed]
|
||||
table [x=SNR, y=FER, col sep=comma, discard if not={gamma}{0.15}]
|
||||
{res/2d_ber_fer_dfr_20433484_hybrid.csv};
|
||||
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.15$}
|
||||
{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/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
{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/2d_ber_fer_dfr_20433484_hybrid.csv};
|
||||
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.01$}
|
||||
{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/2d_ber_fer_dfr_20433484_proximal.csv};
|
||||
{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/2d_ber_fer_dfr_20433484_hybrid.csv};
|
||||
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.05$}
|
||||
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{hybrid, $\gamma = 0.05$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
\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]
|
||||
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, $\gamma = 0.15$}
|
||||
\addplot[Emerald, mark=triangle, densely dashed]
|
||||
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.15}]
|
||||
{res/2d_ber_fer_dfr_20433484_hybrid.csv};
|
||||
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.15$}
|
||||
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{hybrid, $\gamma = 0.15$}
|
||||
|
||||
\addplot[NavyBlue, mark=*, solid]
|
||||
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, $\gamma = 0.01$}
|
||||
\addplot[RoyalPurple, mark=triangle, densely dashed]
|
||||
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.01}]
|
||||
{res/2d_ber_fer_dfr_20433484_hybrid.csv};
|
||||
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.01$}
|
||||
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{hybrid, $\gamma = 0.01$}
|
||||
|
||||
\addplot[RedOrange, mark=*, solid]
|
||||
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, $\gamma = 0.05$}
|
||||
\addplot[red, mark=triangle, densely dashed]
|
||||
table [x=SNR, y=DFR, col sep=comma, discard if not={gamma}{0.05}]
|
||||
{res/2d_ber_fer_dfr_20433484_hybrid.csv};
|
||||
\addlegendentry{hybrid prox. \& ML, $\gamma = 0.05$}
|
||||
{res/hybrid/2d_ber_fer_dfr_20433484.csv};
|
||||
\addlegendentry{hybrid, $\gamma = 0.05$}
|
||||
\end{axis}
|
||||
\end{tikzpicture}
|
||||
|
||||
@ -804,6 +804,270 @@ $\textcolor{KITblue}{\text{Output }\boldsymbol{\tilde{x}}_n\text{ with lowest }d
|
||||
\end{frame}
|
||||
|
||||
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
\begin{frame}[t]
|
||||
\frametitle{Proximal Decoding: Improvement using ``ML-on-List''}
|
||||
|
||||
\begin{figure}[H]
|
||||
\vspace*{-0.5cm}
|
||||
\centering
|
||||
\begin{subfigure}[c]{0.33\textwidth}
|
||||
\centering
|
||||
|
||||
\begin{tikzpicture}[scale=0.35]
|
||||
\begin{axis}[
|
||||
grid=both,
|
||||
xlabel={$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}
|
||||
|
||||
|
||||
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
||||
%\begin{frame}[t, fragile]
|
||||
% \frametitle{Proximal Decoding: Improvement using ``ML-on-List''}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user