Merge branch 'main' of https://cau-git.rz.uni-kiel.de/nt/mitarbeiter/silas/imdd_simulation

Functions/EQ_structures/vnle.m

@@ -26,6 +26,10 @@ function [eq_package] = vnle(eq_,M,rx_signal,tx_symbols,tx_bits,options)
     end
 
     %FFE or VNLE
+    if length(rx_signal)/2 == length(tx_symbols)+0.5
+        rx_signal.signal = rx_signal.signal(1:end-1);
+    elseif  length(rx_signal)/2 == length(tx_symbols)-1
+    end
     [eq_signal_sd,eq_noise] = eq_.process(rx_signal,tx_symbols);
 
     eq_signal_hd = PAMmapper(M,0).quantize(eq_signal_sd);
@@ -78,9 +82,12 @@ function [eq_package] = vnle(eq_,M,rx_signal,tx_symbols,tx_bits,options)
     eq_package.evm_lvl      = evm_lvl;
     eq_package.inf_rate_vnle = inf_rate;
 
+    eq_package.snr = snr(eq_signal_sd.signal,eq_noise.signal);
+
 
     if options.showAnalysis
 
+        snr(eq_signal_sd.signal,eq_noise.signal);
         fprintf(['VNLE EVM lvl: ',repmat('%.3f ',1,numel(evm_lvl)),' \n'],evm_lvl);
 
         fprintf('VNLE BER: %.2e \n',ber);

Functions/Theory/Neuer Ordner/duobinary_histogram.m

@@ -0,0 +1,51 @@
+
+
+
+figure(2)
+tiledlayout(1,3)
+cols = linspecer(5);
+cnt = 1;
+for m = [4,6,8]
+
+    M = m;
+    fsym = 112e9;
+    fdac = 256e9;
+    
+    [Digi_sig,Symbols,Tx_bits] = PAMsource(...
+        "fsym",fsym,"M",M,"order",19,"useprbs",1,...
+        "fs_out",fdac,...
+        "applyclipping",0,"clipfactor",1.5,...
+        "applypulseform",0,"pulseformer",NaN,...
+        "randkey",33,...
+        "db_precode",1,"db_encode",0,...
+        "mrds_code",0,"mrds_blocklength",512).process();
+    
+    Symbols_pre = Duobinary().precode(Symbols);
+    
+    Symbols_db = Duobinary().encode(Symbols_pre);
+    
+    if M == 4
+        Symbols_db.signal = Symbols_db.signal .*sqrt(2.5);
+    elseif M == 6
+        Symbols_db.signal = Symbols_db.signal .*sqrt(5.8);
+    elseif M == 8
+        Symbols_db.signal = Symbols_db.signal .*sqrt(10.5);
+    end
+    
+    % figure(1)
+    % hold on
+    % histogram(Symbols_db.signal,"EdgeAlpha",0.3,"Normalization","probability");
+    
+    
+    % figure(1)
+    nexttile
+    hold on
+    bar(unique(Symbols_db.signal),histcounts(int32(Symbols_db.signal),"Normalization","probability"),"FaceColor",cols(cnt,:),"FaceAlpha",0.6,"BarWidth",1-(0.2*cnt),"LineWidth",0.5,"EdgeColor",'black','DisplayName',['Duobinary PAM-',num2str(M)]);
+    xticks(unique(Symbols_db.signal));
+    ylim([0 0.26]);
+    xlabel("Symbol")
+    
+
+    cnt = cnt+1,
+
+end

Functions/Theory/Neuer Ordner/duobinary_transferfunction.m

@@ -0,0 +1,18 @@
+
+
+% Define the filter taps
+h_ = {[1],[1 1],[1 2 1],[1 3 3 1]};
+
+for i = 1:length(h_)
+    h = h_{i};
+    
+    [H, w] = freqz(h, 1, 1024, 1);
+    
+    figure(1);
+    hold on
+    plot(w, 10*log10(abs(H)), 'LineWidth', 2,'DisplayName',['$(1+D)^2$']); %todo
+    xlabel('Normalized Frequency');
+    ylabel('Amplitude in dB');
+    grid on;
+    ylim([-20,10])
+end