FSO analysis:

- minimal changes in several files
- new Timing Rec from Magnus

Functions/EQ_structures/dsp_runid.m

@@ -95,7 +95,7 @@ try
     adaption= 1;
     use_dd_mode = 1;
 
-    use_ffe         = 0;
+    use_ffe         = 1;
     use_dfe         = 0;
     use_vnle_mlse   = 0;
     use_dbtgt       = 0;
@@ -149,6 +149,9 @@ try
         % Scpe_sig.spectrum("fignum",22233,"normalizeTo0dB",0,"displayname",'Rx');
         % Scpe_sig.eye(fsym,M,"fignum",1024);
 
+        Scpe_sig.signal = Scpe_sig.signal(1:2*Symbols.length);
+        Scpe_sig.signal = real(Scpe_sig.signal);
+
         if duob_mode ~= db_mode.db_encoded
 
             if use_ffe
@@ -246,7 +249,7 @@ try
                 %ML-based MLSE (L=2)
                 mu_ml = 0.01; training_epochs = 100;
                 ml_mlse_equalizer = ML_MLSE("epochs_tr",training_epochs,"epochs_dd",1, ...
-                    "len_tr",length(Scpe_sig),"mu_dd",mu_ml,"mu_tr",mu_ml,"order",11,"sps",2, ...
+                    "len_tr",length(Scpe_sig)/4,"mu_dd",mu_ml,"mu_tr",mu_ml,"order",11,"sps",2, ...
                     "traceback_depth",128,"L",1,"delta",4,"adaptive_mu",0);
 
                 [ml_mlse_results] = ml_mlse(ml_mlse_equalizer, M, Scpe_sig, Symbols, Tx_bits,"precode_mode",duob_mode);

Functions/EQ_structures/ffe.m

@@ -157,7 +157,7 @@ function displayAnalysis(eq_noise, eq_signal_sd, rx_signal, eq_, tx_symbols, M,
 
     % Initialize figure handles
     % Corrected line - added tx_symbols as second positional argument
-    showLevelScatter(rx_signal.resample("fs_out", tx_symbols.fs), tx_symbols, "fignum", 100);
+    % showLevelScatter(rx_signal.resample("fs_out", tx_symbols.fs), tx_symbols, "fignum", 100);
 
     warning off
     showLevelScatter(eq_signal_sd, tx_symbols, "fignum", 101);
@@ -174,19 +174,20 @@ function displayAnalysis(eq_noise, eq_signal_sd, rx_signal, eq_, tx_symbols, M,
     end
 
     try
-        figure(339);
-        showEQfilter(eq_.e_tr, eq_signal_sd.fs.*2,"displayname",'training','fignum',339);
-        showEQfilter(eq_.e, eq_signal_sd.fs.*2,"displayname",'dec. directed','fignum',339);
+        figure(339);hold on
+        showEQfilter(eq_.e, eq_signal_sd.fs.*2,"displayname",'training','fignum',339);
+        % showEQfilter(eq_.e, eq_signal_sd.fs.*2,"displayname",'dec. directed','fignum',339);
         legend on
     end
 
-    try
-        figure(240); hold on; plot(pow2db(movmean(eq_.debug_struct.error_tr',100)));ylim([-30,3]);title('error training');
-    
-        figure(241); hold on; plot(pow2db(movmean(eq_.debug_struct.update_tr',100)));title('update step training');
-    
-        figure(242); hold on; plot(pow2db(movmean(eq_.debug_struct.update',1000)));title('update step dd');
-    end
-    % eq_signal_sd.eye(eq_signal_sd.fs,M,"displayname",'Eye','fignum',105);
+    % try
+    %     figure(240); hold on; plot(pow2db(movmean(eq_.debug_struct.error_tr',100)));ylim([-30,3]);title('error training');
+    % 
+    %     figure(241); hold on; plot(pow2db(movmean(eq_.debug_struct.update_tr',100)));title('update step training');
+    % 
+    %     figure(242); hold on; plot(pow2db(movmean(eq_.debug_struct.update',1000)));title('update step dd');
+    % end
+
+    eq_signal_sd.eye(eq_signal_sd.fs,M,"displayname",'Eye','fignum',105);
 
 end

Functions/EQ_structures/ml_mlse.m

@@ -45,8 +45,7 @@ end
 
 ml_mlse_results.config = Equalizerstruct();
 
-eq_small = strip_eq(eq_, 10);
-json_str = jsonencode(eq_small);
+eq_ = strip_eq(eq_, 10);
 
 ml_mlse_results.config.eq = jsonencode(eq_);
 ml_mlse_results.config.equalizer_structure = int32(equalizer_structure.ml_mlse);
@@ -135,6 +134,9 @@ function eq_out = strip_eq(eq_, max_elems)
                 eq_.(props{i}) = [];
             end
         end
+        if issparse(val)
+            eq_.(props{i}) = find(eq_.(props{i}));
+        end
     end
     eq_out = eq_;
 end

Functions/EQ_structures/vnle_postfilter_mlse.m

@@ -283,7 +283,7 @@ if ~isempty(postFFE)
     showEQcoefficients('n1', postFFE.e, "displayname", 'Coefficients', 'fignum', 338);
 end
 
-showEQcoefficients('n1', eq_.e,'n2', eq_.e2,'n3', eq_.e3, "displayname", 'Coefficients', 'fignum', 339);
+% showEQcoefficients('n1', eq_.e1,'n2', eq_.e2,'n3', eq_.e3, "displayname", 'Coefficients', 'fignum', 339);
 showEQfilter(eq_.e, eq_signal_sd.fs.*2);
 
 figure(340); clf;