Add new minimal example (+ a ton of other, not so important, changes)

projects/ML_based_MLSE/experimental_data.m

@@ -35,8 +35,9 @@ mlse_ = MLSE("DIR",[1,1],"duobinary_output",0,"M",M,"trellis_states",PAMmapper(M
 db_ref_sequence = Duobinary().encode(Symbols);
 db_ref_constellation = unique(db_ref_sequence.signal);
 [eq_signal, eq_noise] = eq_.process(Scpe_sig,db_ref_sequence);
+
 %%
-if 0
+if 1
     [mlse_sig_sd,LLR,GMI_MLSE] = mlse_.process(eq_signal,Symbols);
 else
     % Ml MLSE