Gif stuff

nonlinear MLSE investigation
trying hard to implment ML-based pre Equalization to find the branch metrics

Functions/EQ_structures/dsp_runid.m

@@ -96,10 +96,10 @@ try
     adaption= 1;
     use_dd_mode = 1;
 
-    use_ffe         = 1;
-    use_dfe         = 1;
+    use_ffe         = 0;
+    use_dfe         = 0;
     use_vnle_mlse   = 1;
-    use_dbtgt       = 1;
+    use_dbtgt       = 0;
     use_dbenc       = 0;
 
     addProcessingResultToDatabase = 0;

Functions/EQ_visuals/showEQNoisePSD.m

@@ -43,6 +43,6 @@ end
     end
 
     xlim([-eq_noise.fs/2* 1e-9 eq_noise.fs/2* 1e-9]);
-    ylim([-15, 0]);
+    % ylim([-15, 0]);
 
 end

Functions/Theory/CCDM/ccdm_gpt_example.m

@@ -0,0 +1,27 @@
+%% Target source entropy for PS-PAM8
+clear; clc;
+
+M = 8;
+a = -(M-1):2:(M-1);      % PAM-8 amplitude levels: [-7 -5 -3 -1 1 3 5 7]
+H_target = 2.79;          % desired entropy [bits/symbol]
+
+% Objective: find nu such that H(PA) = H_target
+f = @(nu) entropy_MB(a,nu) - H_target;
+nu_opt = fzero(f, [0, 2]);   % search ν in reasonable range
+
+% Compute final distribution
+P = exp(-nu_opt*a.^2);
+P = P/sum(P);
+H = -sum(P .* log2(P));
+
+fprintf('Shaping parameter ν = %.4f\n', nu_opt);
+fprintf('Entropy H(A) = %.3f bits/symbol\n', H);
+disp('Probability vector (P_A):');
+disp(P.');
+
+%% Helper: entropy function
+function H = entropy_MB(a,nu)
+    P = exp(-nu*a.^2);
+    P = P/sum(P);
+    H = -sum(P .* log2(P));
+end

Functions/beautifyBERplot.m

@@ -8,12 +8,13 @@ function beautifyBERplot()
     
     for i = 1:length(lines)
         lines(i).LineWidth = 1.3;  % Thicker line width
-        %lines(i).LineStyle = '-';  % Solid lines for simplicity
-        % if string(lines(i).Marker) == "none"
-        %     lines(i).Marker = markers{mod(i-1, num_markers) + 1}; % Assign markers cyclically
-        % end
-        lines(i).MarkerSize = 4;   % Marker size
-        lines(i).MarkerFaceColor = 'auto'; % Use line color for marker face
+        lines(i).LineStyle = '-';  % Solid lines for simplicity
+        if string(lines(i).Marker) == "none"
+            lines(i).Marker = markers{mod(i-1, num_markers) + 1}; % Assign markers cyclically
+        end
+        lines(i).MarkerSize = 7;   % Marker size
+        lines(i).MarkerFaceColor = lines(i).Color; % Use line color for marker face
+        lines(i).MarkerEdgeColor = 'white';
     end
 
     % Change all text interpreters to LaTeX