ML_MLSE (before testing in depth)
minor changes here and there
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@@ -332,12 +332,14 @@ for r = 1:length(fsym)
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plot_stuff = 0;
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gmi_mlse_pr_tgt_ = zeros(size(alpha_vec));
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ber_mlse_pr_tgt_ = zeros(size(alpha_vec));
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parfor a = 1:numel(alpha_vec)
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for a = 1:numel(alpha_vec)
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alpha_vec(a) = 0.9;
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eq_ = EQ("Ne",[vnle_order1,vnle_order2,vnle_order3],"Nb",[0,0,0],"training_length",len_tr,"training_loops",5,"dd_loops",5,"K",2,"DCmu",mu_dc,"DDmu",[mu_ffe mu_dfe],"DFEmu",0.00,"FFEmu",0,"plotfinal",0,"ideal_dfe",0);
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Symbols_filt = Symbols.filter([1,alpha_vec(a)],1);
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[eq_signal_prtgt, eq_noise] = eq_.process(Rx_sig, Symbols_filt);
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showLevelHistogram(eq_signal_prtgt,Symbols_filt,"displayname",'VNLE Out','fignum',201);
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if plot_stuff
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% Plot the response for respective EQ targets
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