539 lines
25 KiB
Matlab
539 lines
25 KiB
Matlab
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folderpath = 'C:\Users\sioe\Documents\High_Speed_Measurement_2024\10km_bitrate_complete\';
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experiment_name = '';
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currentTime = datetime('now', 'Format', 'yyyyMMdd_HHmmss');
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timeStr = char(currentTime);
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experiment_name = [experiment_name, timeStr];
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if 1
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%%% BITRATE Sweep for MPI Experiment %%%
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awg_vpp = 2.7;
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pd_in_set = 8;
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random_key = 0;
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params = struct;
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params.M = [8];
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params.lambda = [1293, 1297.5, 1302, 1306.5, 1310, 1313.4, 1318, 1322.7, 1327.4]; %calcWavelengthPlan(16, 400e9 , 1310);
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params.bitrate = [270,300,330,360,390,400,410,420,430,440,450,460,470,480].*1e9;
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params.duobinary = [0,1,2];
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params.rop_atten = [0];
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end
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if 0
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%%% ROP SWEEP
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awg_vpp = 2.7;
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pd_in_set = 6;
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random_key = 0;
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params = struct;
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params.M = [8,6,4];
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params.lambda = [1310]; %calcWavelengthPlan(16, 400e9 , 1310);
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params.bitrate = [300:30:480].*1e9;
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params.duobinary = [1,0];
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params.rop_atten = [0:1.5:7.5];
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end
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wh = DataStorage(params);
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wh.addStorage("ber_ffe");
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wh.addStorage("ber_ffe_mlse");
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wh.addStorage("ber_vnle");
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wh.addStorage("ber_vnle_mlse");
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wh.addStorage("ber_db");
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wh.addStorage("FFE");
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wh.addStorage("VNLE");
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wh.addStorage("pd_in");
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wh.addStorage("rop");
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wh.addStorage("m");
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wh.addStorage("dcs");
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wh.addStorage("pdfa");
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wh.addStorage("exfo");
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wh.addStorage("voa");
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wh.addStorage("filename");
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precomp_path = "C:\Users\sioe\Documents\High_Speed_Measurement_2024\precomp\";
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precomp_fn = "lab_high_speed";
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precomp_mode = 2; %0=do nothing ; 1= measure; 2=precomp active
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looptotal = prod(wh.dim);
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disp(['Start Measurement of ',num2str(looptotal),' loops...'])
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iterationTimes = zeros(looptotal, 1); % Preallocate for speed
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if ~exist('hWaitbar', 'var') || ~isvalid(hWaitbar)
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hWaitbar = waitbar(0, sprintf('Starting %d measurements',looptotal), 'Name', 'Processing Progress');
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else
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waitbar(0, hWaitbar, sprintf('Starting %d measurements',looptotal));
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end
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loopcnt = 0;
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estimatedTimeRemaining = 0;
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estimatedTotalTime = 0;
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for M = wh.parameter.M.values
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dcs = DC_supply("active",[1,0],"voltage",[2.3, 0]);
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for db = wh.parameter.duobinary.values
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if db == 1
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ffe_only = 0;
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postfilter_approach = 0;
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db_channel_approach = 1;
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db_coding_approach = 0;
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db_precode = db_coding_approach || db_channel_approach;
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if M == 4
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pulsef=1;
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precomp_amp_max = -50;
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v_bias_for_pam = 2.3;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pulsef = 1;
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elseif M == 6
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pulsef=0;
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precomp_amp_max = -50;
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v_bias_for_pam = 2.3;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pulsef = 1;
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elseif M == 8
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pulsef=0;
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precomp_amp_max = -50;
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v_bias_for_pam=2.6;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pause(7*60); %wait 30 minutes for stable bias
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pulsef = 0;
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end
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elseif db == 2
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ffe_only = 0;
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postfilter_approach = 0;
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db_channel_approach = 0;
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db_coding_approach = 1;
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db_precode = db_coding_approach || db_channel_approach;
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if M == 4
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pulsef=1;
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precomp_amp_max = -38;
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v_bias_for_pam = 2.8;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pulsef = 1;
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elseif M == 6
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pulsef=0;
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precomp_amp_max = -38;
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v_bias_for_pam = 2.8;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pulsef = 1;
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elseif M == 8
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pulsef=0;
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precomp_amp_max = -38;
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v_bias_for_pam = 2.8;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pulsef = 1;
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end
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elseif db == 0
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ffe_only = 0;
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postfilter_approach = 1;
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db_channel_approach = 0;
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db_coding_approach = 0;
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db_precode = db_coding_approach || db_channel_approach;
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if M == 4
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pulsef=1;
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precomp_amp_max = -37;
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v_bias_for_pam = 2.3;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pulsef = 1;
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elseif M == 6
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pulsef=0;
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precomp_amp_max = -34;
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v_bias_for_pam = 2.3;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pulsef = 1;
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elseif M == 8
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pulsef=0;
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precomp_amp_max = -34;
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v_bias_for_pam=2.6;
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dcs.set("voltage",[v_bias_for_pam, 0]);
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pause(7*60); %wait 30 minutes for stable bias
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pulsef = 0;
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end
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end
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for lambda = wh.parameter.lambda.values
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exfo = Exfo_laser("serialport_number",'COM8','mainframe_channel',1,'safety_mode',0);
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pdfa = Thor_PDFA("safety_mode",0);
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exfo.getLaserInfo;
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if ~(exfo.cur_wavelength == lambda)
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% 1)
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pdfa.disablePDFA;
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% 2)
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exfo.setWavelength(lambda);
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% 3)
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pdfa.enablePDFA();
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% 4)
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pdfa.setPumpLevel(86);
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end
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for bitrate = wh.parameter.bitrate.values
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fsym = floor( bitrate*1e-9./log2(M) ).*1e9;
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%%%%% Construct AWG and Scope Modules %%%%%%
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fdac = 256e9;
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fadc = 256e9;
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SCP = ScopeKeysight("model","UXR1104B",'autoscale',1,"fadc","GSa_256","channel",[0,1,0,0],"recordLen",4000000,"removeDC",1);
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AWG = AwgKeysight("model","M8199B","fdac",fdac,"scaletodac",[1,1],"skews",[0,0],"voltages",[0,awg_vpp]);
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A2S = Awg2Scope(AWG,SCP,[0,2,0,0],"waitUntilClick",0); %
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%%%%% Symbol Generation %%%%%%
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rcalpha = 0.05;
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Pform = Pulseformer("fsym",fsym,"fdac",4*fsym,"pulse","rrc","pulselength",16,"rrcalpha",rcalpha);
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Pamsource = PAMsource(...
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"fsym",fsym,"M",M,"order",19,"useprbs",1,...
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"fs_out",fdac,...
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"applyclipping",0,"clipfactor",1.2,...
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"applypulseform",pulsef,"pulseformer",Pform,...
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"randkey",random_key,...
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"db_precode",db_precode,"db_encode",db_coding_approach,...
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"mrds_code",0,"mrds_blocklength",512);
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[Digi_sig,Symbols,Bits] = Pamsource.process();
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% Digi_sig.plot("displayname","Digi_sig clipped","fignum",21,"clear",1);
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%%%%% Precompensation Routine %%%%%%
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if precomp_mode == 1 % measure channel
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precomp_est = ChannelFreqResp("Nacq",2048,"Navg",100,"Ncp",63,'f_ref',fdac);
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Digi_sig = precomp_est.buildOFDM();
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elseif precomp_mode == 2 % apply precomp
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precomp_est = ChannelFreqResp("Nacq",2048,"Navg",100,"Ncp",63,'f_ref',Digi_sig.fs);
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Digi_sig = precomp_est.precomp(Digi_sig,'maxampdb',precomp_amp_max,'loadPath',precomp_path,'fileName',precomp_fn);
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end
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%%%%% Resample to DAC rate %%%%%%
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Digi_sig = Digi_sig.resample("fs_out",AWG.fdac);
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% Digi_sig.spectrum("displayname","TX After precomp","fignum",222,"normalizeToNyquist",0,"normalizeTo0dB",1);
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if 0 %negative performance...
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% X: design FIR filter for sinc precomp
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% https://www.dsprelated.com/showarticle/1191.php
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ntaps = 13;
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npts = 32;
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% least-squares FIR design
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fmax = AWG.fdac*0.5;
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ff = linspace(0,fmax,npts);
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hsinc = sin(pi*ff/AWG.fdac)./(pi*ff/AWG.fdac + eps); % transfer function of sample and hold DAC
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hsinc(1) = 1;
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h_goal= 1./hsinc; % goal function
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f = 2.*ff./AWG.fdac; %vector between 0 and 1, where 1 is nyquist is fsamp/2
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b = firls(ntaps-1,f,h_goal);
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Digi_sig.signal = conv(Digi_sig.signal,b,"same");
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end
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% Digi_sig.spectrum("displayname","TX After SINC precomp","fignum",222,"normalizeToNyquist",0,"normalizeTo0dB",1);
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for rop_atten = wh.parameter.rop_atten.values
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%%%%% Loop Preps
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iterationStartTime = tic;
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loopcnt = loopcnt+1;
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loop_name = ['_PAM_',num2str(M),'_L_',num2str(lambda),'_R_',num2str(bitrate),'_DB_',num2str(db),'_ROP_',num2str(rop_atten)];
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loop_name = strrep(loop_name,'.','_');
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%%%%% READ Voltages %%%%%%
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dcs.readVals();
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%%%%% SET Attenuator %%%%%%
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voa = OptAtten("active",[1,2,1,1],"value",[rop_atten,pd_in_set,0,0],"wavelength",[1310,1310,1310,1310],"speed",[1000,100,1000,1000]);
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voa.set('active',[1,2,1,1],'value',[rop_atten,pd_in_set,0,0]);
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voa.readvals();
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%%%% SIGNAL USUALLY HERE, NOW ABOVE ROP_ATTEN %%%
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%%%%% Plot and Save Routine 1 - same for all rops, thus save only once %%%%%%%%%%%%%%%%%%%%%%%%%
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if rop_atten == 0
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save([folderpath,experiment_name,loop_name,'_bits'],"Bits");
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save([folderpath,experiment_name,loop_name,'_symbols'],"Symbols");
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end
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%%%% AWG --> Scope %%%%%%
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[~,Scpe_sig_raw,~,D] = A2S.process("signal2",Digi_sig,"waitUntilClick",0);
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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save([folderpath,experiment_name,loop_name,'_raw_signal'],"Scpe_sig_raw");
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% Scpe_sig_raw = Filter('filtdegree',5,"f_cutoff",0.55.*fsym,"fs",fadc,"filterType",filtertypes.gaussian,"active",true).process(Scpe_sig_raw);
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%
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Scpe_sig_raw.plot("displayname","Scope raw signal","fignum",20,"clear",1);
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% Scpe_sig_raw.spectrum("displayname","Scope PSD","fignum",30,"normalizeTo0dB",1);
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% Scpe_sig_raw.eye(fsym,M,"displayname",'eye','fignum',200);
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%%%%%% Sample to 2x fsym %%%%%%
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Scpe_sig_resampled = Scpe_sig_raw.resample("fs_in",fadc,"fs_out",2*fsym);
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%%%%% Precompensation Routine %%%%%%
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if precomp_mode == 1
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precomp_est.estimate(Scpe_sig_resampled,"save",true,"savePath",precomp_path,"fileName",precomp_fn);
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precomp_est.plot();
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end
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voa.readvals();
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rop = voa.power_state(1);
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pd_in = voa.power_state(2);
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%%%%%% Sync Rx signal with reference (S is a cell array with all occurences) %%%%%%
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[Scpe_sig_syncd,S,isFlipped] = Scpe_sig_resampled.tsynch("reference",Symbols,"fs_ref",fsym);
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%%%%% Plot and Save Routines: SAVE RECEIVED SIGNALS %%%%%%%%%%%%%%%%%%%%%%%%%
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save([folderpath,experiment_name,loop_name,'_rx_signal'],"S");
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%%%%% EQUALIZE %%%%%%
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% set to minus one not zero not avoid confusion if BER is acutally zero
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ber_vnle = [-1];
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ber_vnle_mlse = [-1];
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ber_ffe_mlse =[-1];
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ber_ffe = [-1];
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ber_db = [-1];
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ffe = EQ("Ne",[50,0,0],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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vnle = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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if postfilter_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
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if 1
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eq_values = min(numel(S),8);
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Noi = cell(eq_values,1);
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EQ_vnle= cell(eq_values,1);
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EQ_ffe= cell(eq_values,1);
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parfor s = 1:eq_values
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if 1
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%VNLE
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vnle = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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Scpe_sig_syncd = S{s};
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[EQ_vnle{s}] = vnle.process(Scpe_sig_syncd,Symbols);
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Noi{s} = EQ_vnle{s}-Symbols;
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Rx_bits = PAMmapper(M,0).demap(EQ_vnle{s});
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[~,~,ber_vnle(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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end
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%VNLE + MLSE
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if 1
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Noi{s}.signal = Noi{s}.signal - mean(Noi{s}.signal);
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nc = 2;
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burg_coeff = arburg(Noi{s}.signal,nc);
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EQ_mlse = EQ_vnle{s}.filter(burg_coeff,1);
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EQ_mlse = MLSE("DIR",burg_coeff,"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_mlse);
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Rx_bits = PAMmapper(M,0).demap(EQ_mlse);
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[~,~,ber_vnle_mlse(s),~] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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end
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end
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if 0
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[~,s]=min(ber_vnle_mlse);
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nc = 2;
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burg_coeff = arburg(Noi{s}.signal,nc);
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Noi{s}.spectrum('displayname','Noise PSD','fignum',123);
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[h,w] = freqz(1,burg_coeff,length(Noi{s}),"whole",Noi{s}.fs);
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h = h/max(abs(h));
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hold on
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w_ = (w - Noi{s}.fs/2);
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plot(w_.*1e-9,20*log10(fftshift(h)),'DisplayName',['', num2str(nc), ' coefficients for burg alg.']);
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end
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if 0
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figure(55);
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clf
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title(sprintf('PAM %d ; BER: %1.2e',M, ber_vnle_mlse(s) ));
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constellation = unique(Symbols.signal);
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received = NaN(numel(constellation),length(Symbols));
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for lvl = 1:numel(constellation)
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%Separate the equalized signal into the
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%respective levels based on the actually
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%transmitted level!
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received(lvl,Symbols.signal==constellation(lvl)) = EQ_vnle{s}.signal(Symbols.signal==constellation(lvl));
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intermediate = received(lvl,:);
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cnt(lvl) = numel(intermediate(~isnan(intermediate)));
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hold on
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histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
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end
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legend
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end
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% disp(['FFE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe)),' WORST:',sprintf('%.1E',max(ber_ffe)),'. Out of ',num2str(numel(ber_ffe))]);
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% disp(['FFE + MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_ffe_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_ffe_mlse)),' WORST:',sprintf('%.1E',max(ber_ffe_mlse)),'. Out of ',num2str(numel(ber_ffe_mlse))]);
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disp(['VNLE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle)),' WORST:',sprintf('%.1E',max(ber_vnle)),'. Out of ',num2str(numel(ber_vnle))]);
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% disp(['VNLE+MLSE EQ: BEST BER: ',sprintf('%.1E',min(ber_vnle_mlse)),' AVG BER: ',sprintf('%.1E',mean(ber_vnle_mlse)),' WORST:',sprintf('%.1E',max(ber_vnle_mlse)),'. Out of ',num2str(numel(ber_vnle_mlse))]);
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end
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elseif db_channel_approach %%%%%%%%%%%%%%%%%%%%%%%%%%%
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ffe = EQ("Ne",[50,0,0],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.05,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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ffe = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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if 1
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eq_values = min(numel(S),8);
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Noi = cell(eq_values,1);
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EQ_sig = cell(eq_values,1);
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parfor s = 1:eq_values
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Scpe_sig_syncd = S{s};
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[EQ_sig{s}, Noi{s}] = ffe.process(Scpe_sig_syncd,Duobinary().encode(Symbols));
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EQ_sig{s}.signal = EQ_sig{s}.signal-mean(EQ_sig{s}.signal);
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EQ_sig_mlse = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig{s});
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EQ_sig_mlse = Duobinary().decode(EQ_sig_mlse);
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Rx_bits = PAMmapper(M,0).demap(EQ_sig_mlse);
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[~,num_errors,ber_db(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
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end
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if 0
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[~,s]=min(ber_vnle_mlse);
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Noi{s}.spectrum('displayname',['Noise; SIR:',sprintf('%.2f',sir)],'fignum',40,'normalizeTo0dB',1);
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Duobinary().encode(Symbols).spectrum('displayname',['DB coded symbols; SIR:',sprintf('%.2f',sir)],'fignum',40,'normalizeTo0dB',1);
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EQ_sig{s}.spectrum('displayname',['EQ; SIR:',sprintf('%.2f',sir)],'fignum',40,'normalizeTo0dB',1);
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EQ_sig{s}.signal = EQ_sig{1}.signal-mean(EQ_sig{s}.signal);
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end
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disp(['DB EQ: BEST BER: ',sprintf('%.1E',min(ber_db)),' AVG BER: ',sprintf('%.1E',mean(ber_db)),' WORST:',sprintf('%.1E',max(ber_db)),'. Out of',num2str(numel(ber_db))]);
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else
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% disp('Disabled MLSE for DB in all cases, due to time in measurement loop')
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|
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end
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|
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elseif db_coding_approach
|
|
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ffe = EQ("Ne",[50,7,7],"Nb",[0,0,0],"training_length",4096*2,"training_loops",5,"dd_loops",5,"K",2,"DCmu",0.0,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",1);
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|
|
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if 1
|
|
|
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eq_values = min(numel(S),8);
|
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Noi = cell(eq_values,1);
|
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EQ_sig = cell(eq_values,1);
|
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EQ_sig_mlse = cell(eq_values,1);
|
|
|
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parfor s = 1:eq_values
|
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[EQ_sig{s}, Noi{s}] = ffe.process(S{s},Symbols);
|
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EQ_sig_mlse{s} = MLSE("DIR",[1,1],"duobinary_output",1,"M",M,"trellis_states",PAMmapper(M,0).levels).process(EQ_sig{s});
|
|
EQ_sig_mlse{s} = Duobinary().decode(EQ_sig_mlse{s});
|
|
Rx_bits = PAMmapper(M,0).demap(EQ_sig_mlse{s});
|
|
[~,num_errors,ber_db(s),pos_errors] = calc_ber(Rx_bits.signal,Bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
|
|
end
|
|
|
|
disp(['DB EQ: BEST BER: ',sprintf('%.1E',min(ber_db)),' AVG BER: ',sprintf('%.1E',mean(ber_db)),' WORST:',sprintf('%.1E',max(ber_db)),'. Out of',num2str(numel(ber_db))]);
|
|
|
|
if 1
|
|
[~,s]=min(ber_db);
|
|
Noi{s}.spectrum('displayname',['Noise '],'fignum',50,'normalizeTo0dB',1);
|
|
EQ_sig{s}.spectrum('displayname',['EQLZD '],'fignum',50,'normalizeTo0dB',1);
|
|
Symbols.spectrum('displayname',['Symbols '],'fignum',222,'normalizeTo0dB',1);
|
|
end
|
|
|
|
if 1
|
|
figure(51);
|
|
clf
|
|
title(sprintf('DB coded PAM after EQ ; BER: %1.2e',M, ber_db(s) ));
|
|
constellation = unique(Symbols.signal);
|
|
received = NaN(numel(constellation),length(Symbols));
|
|
for lvl = 1:numel(constellation)
|
|
%Separate the equalized signal into the
|
|
%respective levels based on the actually
|
|
%transmitted level!
|
|
received(lvl,Symbols.signal==constellation(lvl)) = EQ_sig{s}.signal(Symbols.signal==constellation(lvl));
|
|
intermediate = received(lvl,:);
|
|
cnt(lvl) = numel(intermediate(~isnan(intermediate)));
|
|
hold on
|
|
histogram(received(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' entries']);
|
|
end
|
|
legend
|
|
end
|
|
|
|
end
|
|
|
|
end
|
|
|
|
% showCurrentMeasurement('Vbias', v_bias_for_pam,'MIN BER', min(ber_db),'MEAN BER',mean(ber_db),'MAX BER',max(ber_db), 'Fsym',fsym.*1e-9, 'ROP', rop, 'Precomp MaxAmp',precomp_amp_max);
|
|
|
|
|
|
|
|
|
|
%%%%% Store measurement into measurement "warehouse" %%%%%%
|
|
|
|
wh.addValueToStorage({ber_ffe},'ber_ffe',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage({ber_ffe_mlse},'ber_ffe_mlse',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage({ber_vnle},'ber_vnle',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage({ber_vnle_mlse},'ber_vnle_mlse',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage({ber_db},'ber_db',M,lambda,bitrate,db,rop_atten);
|
|
|
|
wh.addValueToStorage(rop,'rop',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage(pd_in,'pd_in',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage(M,'m',M,lambda,bitrate,db,rop_atten);
|
|
|
|
wh.addValueToStorage(dcs,'dcs',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage(pdfa,'pdfa',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage(exfo,'exfo',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage(voa,'voa',M,lambda,bitrate,db,rop_atten);
|
|
|
|
wh.addValueToStorage(ffe,'FFE',M,lambda,bitrate,db,rop_atten);
|
|
wh.addValueToStorage(vnle,'VNLE',M,lambda,bitrate,db,rop_atten);
|
|
|
|
wh.addValueToStorage(string([experiment_name,loop_name]),'filename',M,lambda,bitrate,db,rop_atten);
|
|
|
|
|
|
iterationTimes(loopcnt) = toc(iterationStartTime);
|
|
averageTimePerIteration = mean(iterationTimes(1:loopcnt));
|
|
estimatedTotalTime = averageTimePerIteration * looptotal;
|
|
estimatedTimeRemaining = estimatedTotalTime - sum(iterationTimes(1:loopcnt));
|
|
progressFraction = loopcnt / looptotal;
|
|
waitbar(progressFraction, hWaitbar, ...
|
|
sprintf('Loop: %d of %d \n Runtime: %.1f min | %.1f sec per Loop |Time to go: %.1f min ', ...
|
|
loopcnt, looptotal, sum(iterationTimes(1:loopcnt))/60, averageTimePerIteration, estimatedTimeRemaining/60 ));
|
|
|
|
wh.save([folderpath,experiment_name,'_wh']);
|
|
|
|
end
|
|
end
|
|
end
|
|
end
|
|
end
|
|
|
|
close(hWaitbar);
|
|
|
|
wh.save([folderpath,experiment_name,'_wh']);
|
|
|
|
|