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@@ -4,6 +4,7 @@ classdef AWG
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properties(Access=public)
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preset
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kover %oversampling factor e.g. 16
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repetitions %repeat the signal to generate a longer sequence?
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fdac %needed
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@@ -64,13 +65,8 @@ classdef AWG
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obj.dac_max = 0.5;
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obj.dac_min = -.5;
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obj.f_cutoff = 80e9;
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end
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end
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function signalclass_out = process(obj,signalclass_in)
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@@ -91,7 +87,8 @@ classdef AWG
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signalclass_in = Electricalsignal(signalclass_in,"fs",obj.fdac*obj.kover,"logbook",signalclass_in.logbook);
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% append to logbook
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signalclass_in = signalclass_in.logbookentry();
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lbdesc = ['AWG preset ', obj.preset, 'k_over:',num2str(obj.kover),'. f_dac:',num2str(obj.fdac*1e-9),'GHz. Resolution:',num2str(obj.bit_resolution),' bits.'];
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signalclass_in = signalclass_in.logbookentry(lbdesc);
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% write to output
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signalclass_out = signalclass_in;
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@@ -32,7 +32,7 @@ classdef EML
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%EML Construct an instance of this class
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% Detailed explanation goes here
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arguments
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options.mode;
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options.mode eml_mode = eml_mode.im_cosinus ;
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options.fsimu;
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options.lambda;
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options.power;
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@@ -70,7 +70,7 @@ classdef EML
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signalclass_in = Opticalsignal(signalclass_in,"fs",obj.fsimu,"logbook",signalclass_in.logbook,"lambda",obj.lambda*1e-9,"nase",0);
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% append to logbook
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lbdesc = ['EML '];
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lbdesc = [num2str(obj.lambda),' nm Laser with ',num2str(obj.power),' dBm P_out. Linew.=',num2str(obj.linewidth*1e-6),' MHz. Modulation mode: ',char(obj.mode) ];
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signalclass_in = signalclass_in.logbookentry(lbdesc);
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% write to output
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@@ -73,8 +73,11 @@ classdef Fiber
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obj.linstep = -obj.alpha_lin/2 - 2*1j*pi^2*obj.b2*faxis.^2 - 4/3*1j*pi^3*obj.b3*faxis.^3;
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opt_out = obj.NLSE(opt_in);
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if obj.gamma ~= 0
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opt_out = obj.NLSE(opt_in);
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else
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opt_out = ifft(fft(opt_in).*exp(obj.linstep*obj.fiber_length)); % only one linear step
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end
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%attenuate nase
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end
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@@ -151,14 +151,38 @@ classdef Filter
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faxis=linspace(-obj.fsamp/2,obj.fsamp/2,blocklen+1)';%generates arow vector faxis of blocklen+1 points linearly spaced between and including -para.fs/2 and para.fs/2
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faxis=ifftshift(faxis(1:end-1));
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H=exp(-((faxis)/(obj.f_cutoff*2)).^(2*obj.filtdegree)*log(2)*2^(2*obj.filtdegree-1));
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% figure()
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% hold on
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% xline(obj.f_cutoff*1e-9,'LineWidth',3,LineStyle='--');
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% xline(-obj.f_cutoff*1e-9,'LineWidth',3,LineStyle='--');
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% plot(faxis*1e-9,20*log10(abs(H)),'LineWidth',3);
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% ax = gca;
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% ylim([-6 0])
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% grid on
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% xlabel('Freq in GHz')
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% ylabel('Magnitude (dB)')
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end
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% Build Filter from coefficients
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if filterType ~= 10
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[H,w] = freqz(B, A, obj.signal_length,'whole');
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% figure()
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% hold on
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% plot(w/(2*pi)*obj.fsamp*1e-9,20*log10(abs(H)),'LineWidth',3);
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% ax = gca;
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% ylim([-6 0])
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% grid on
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% xlabel('Freq in GHz')
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% ylabel('Magnitude (dB)')
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% freqz(B, A)
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%hfvt = fvtool(B,A);
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end
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end
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@@ -167,7 +191,12 @@ classdef Filter
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function show(obj)
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obj.signal_length = 1024;
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[H,w] = obj.buildFilter(obj.filterType);
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plot(w,20*log10(abs(H)))
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plot(w/pi,20*log10(abs(H)));
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ax = gca;
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ax.XTick = 0:.5:2;
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grid on
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xlabel('Normalized Frequency (\times\pi rad/sample)')
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ylabel('Magnitude (dB)')
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%freqz(H);
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end
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end
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@@ -42,6 +42,7 @@ classdef Opticalsignal < Signal
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function pow = power(obj)
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pow = mean(abs(obj.signal.^2)) ;
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% pow = pow2db(pow)+30;
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end
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end
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108
Classes/Signal.m
108
Classes/Signal.m
@@ -24,6 +24,7 @@ classdef Signal
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end
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%% CONVERT TO INFORMATIONSIGNAL
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function [i_sig, varargout] = Informationsignal(obj)
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if isa(obj,'Electricalsignal')
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@@ -40,6 +41,7 @@ classdef Signal
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end
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%% CONVERT TO Electricalsignal
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function [e_sig, varargout] = Electricalsignal(obj,options)
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arguments
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@@ -70,6 +72,7 @@ classdef Signal
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end
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%% CONVERT TO Opticalsignal
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function o_sig = Opticalsignal(obj, options)
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arguments
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@@ -91,9 +94,9 @@ classdef Signal
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if isa(obj,'Electricalsignal')
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%convert to optical
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o_sig = Opticalsignal(obj.signal,"fs",obj.fs,"lambda",options.lambda,"logbook",obj.logbook,"nase",options.nase);
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elseif isa(obj,'Informationsignal')
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@@ -104,12 +107,14 @@ classdef Signal
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end
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%% Display length
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function return_length = length(obj)
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%METHOD1 Summary of this method goes here
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% Detailed explanation goes here
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return_length = length(obj.signal);
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end
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%% Write Logbook Entry
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function obj = logbookentry(obj,varargin)
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if nargin > 1
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@@ -130,6 +135,7 @@ classdef Signal
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end
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%% Resample Signal
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function obj = resample(obj,options)
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arguments
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@@ -146,6 +152,104 @@ classdef Signal
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end
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%%
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function spectrum(obj,fsamp,options)
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arguments
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obj
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fsamp
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options.figurename = [];
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options.displayname = [];
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end
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%Get figure if there is already a spectrum plot -> I want to add the new
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%spectum "onto" the existing plot to have a better comparison
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if isempty(options.figurename)
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fig = findall(groot, 'Type', 'figure', 'Name', 'power density');
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if isvalid(fig)
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fig = get(fig);
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hold on
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else
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figure('name','power density');
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end
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else
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fig = findall(groot, 'Type', 'figure', 'Name', options.figurename);
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if isvalid(fig)
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fig = get(fig);
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hold on
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else
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figure('name',options.figurename);
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end
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end
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%compute FFT of input
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Fsignal = fft(obj.signal);
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%POWER spectral density (todo: toggle?)
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psd = Fsignal.*conj(Fsignal);
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%Use only magnitude of FFT (which was complex)
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psd = abs(psd);
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%Shift the spectrum to yield
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psd = fftshift(psd);
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%divide by N
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psd = psd/length(Fsignal);
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%smoothing
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psd = smooth(psd,100);
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psd_plot = 20*log10(psd);
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testParseval = 1;
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if testParseval == 1
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E_FreqDomain = sum(psd);
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%test parseval
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E_TimeDomain = sum(abs(Fsignal.^2));
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if isequal(round(E_FreqDomain,1),round(E_TimeDomain,1))
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%disp('Parseval is right!');
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else
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disp('Parseval theorem is not right...');
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end
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end
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if fsamp <= 1e+100
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%Frequency Axis
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freq_vec = linspace(-fsamp/2,fsamp/2,length(psd));
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freq_vec = reshape(freq_vec,size(psd_plot));
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if ~isempty(options.displayname)
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plot(freq_vec*1e-9,psd_plot,'Linewidth',0.5,'DisplayName',options.displayname);
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else
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plot(freq_vec*1e-9,psd_plot,'Linewidth',0.5);
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end
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xlabel('Frequency [GHz]')
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else
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%Wavelength Axis
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freq_vec = physconst('LightSpeed')*linspace(-fsamp/2,fsamp/2,length(psd))./((physconst('LightSpeed')/1550e-9)^2);
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if ~isempty(options.displayname)
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plot(freq_vec*1e9,psd_plot,'Linewidth',0.5,'DisplayName',options.displayname);
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else
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plot(freq_vec*1e9,psd_plot,'Linewidth',0.5);
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end
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xlabel('Wavelength [nm]')
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end
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ylabel('Magnitude [dB]')
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legend
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grid minor;
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end
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end
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end
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