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Scattered stuff from Silas during Dissertation

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This commit is contained in:
Silas Oettinghaus
2026-06-03 09:05:33 +02:00
parent a91da3b97c
commit 5c2e27687d
37 changed files with 1726 additions and 1338 deletions
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35
Functions/EQ_structures/dsp_scope_signal.m
View File

@@ -47,12 +47,12 @@ function output = dsp_scope_signal(Scpe_sig_raw, Symbols, Tx_bits, options)
use_dd_mode = 1;
use_ffe = 1;
use_dfe = 0;
use_vnle_mlse = 0;
use_dbtgt = 0;
use_dfe = 1;
use_vnle_mlse = 1;
use_dbtgt = 1;
use_dbenc = 0;
use_ml_mlse = 0;
showAnalysis = 1;
showAnalysis = 0;
decoding_mode = [];
addProcessingResultToDatabase = 0; %#ok<NASGU>
@@ -70,8 +70,8 @@ function output = dsp_scope_signal(Scpe_sig_raw, Symbols, Tx_bits, options)
pf_ = Postfilter("ncoeff", pf_ncoeffs, "useBurg", 1); %#ok<NASGU>
mlse_ = MLSE("duobinary_output", 0, 'M', M, 'trellis_states', PAMmapper(M,0).levels); %#ok<NASGU>
eq_post = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",2001,"sps",1,"decide",0,"adaption_technique","lms"); %#ok<NASGU>
eq_post = FFE("epochs_tr",5,"epochs_dd",2,"len_tr",2^13,"mu_dd",mu_dd,"mu_tr",mu_tr,"order",25,"sps",2,"decide",0, "adaption",adaption_method(adaption),"dd_mode",use_dd_mode); %#ok<NASGU>
eq_post = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-4,"mu_tr",0,"order",2001,"sps",1,"decide",0,"adaption_technique","lms","mu_dc",mu_dc); %#ok<NASGU>
eq_post = FFE("epochs_tr",5,"epochs_dd",2,"len_tr",2^13,"mu_dd",mu_dd,"mu_tr",mu_tr,"order",25,"sps",2,"decide",0, "adaption_technique",adaption_method(adaption),"dd_mode",use_dd_mode,"mu_dc",mu_dc); %#ok<NASGU>
mlse_db_enc = MLSE("DIR", [1,1], "duobinary_output", 0, "M", M, "trellis_states", PAMmapper(M,0).levels); %#ok<NASGU>
eq_db_enc = EQ("Ne", ffe_order_dbtgt, "Nb", dfe_order_dbtgt, "training_length", len_tr, ...
@@ -81,21 +81,22 @@ function output = dsp_scope_signal(Scpe_sig_raw, Symbols, Tx_bits, options)
Scpe_sig = preprocessSignal(Scpe_sig_raw, Symbols, fsym, ...
"mode", options.preprocess_mode, ...
"tx_pulseformer", options.tx_pulseformer, ...
"debug_plots", options.debug_plots);
Scpe_sig.spectrum("fignum",200,"normalizeTo0dB",1,"displayname",'Rx','addDCoffset',-6);
Scpe_sig.spectrum("fignum",201,"normalizeTo0dB",0,"displayname",'Rx');
"debug_plots", 0);
ylim([-30,3]);
xlim([-5,100]);
% Scpe_sig.spectrum("fignum",200,"normalizeTo0dB",1,"displayname",'Rx','addDCoffset',-6);
% ylim([-30,3]);
% xlim([-5,100]);
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
eq_dfe = EQ("Ne",ffe_order_ffe,"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",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",0);
eq_ffe = EQ("Ne",ffe_order_ffe,"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",0.005,"FFEmu",0,"plotfinal",0,"ideal_dfe",0);
eq_ffe = FFE("epochs_tr",5,"epochs_dd",5,"len_tr",4096*2,"mu_dd",1e-1,"mu_tr",0.4,"order",ffe_order_ffe(1),...
"sps",2,"decide",0,"optmize_mus",0,"dd_mode",1,"adaption_technique","nlms","mu_dc",1.021e-05);
ffe_results = ffe(eq_dfe, M, Scpe_sig, Symbols, Tx_bits, ...
ffe_results = ffe(eq_ffe, M, Scpe_sig, Symbols, Tx_bits, ...
"precode_mode", duob_mode, ...
'showAnalysis', options.debug_plots, ...
"postFFE", [], ...
@@ -116,7 +117,7 @@ function output = dsp_scope_signal(Scpe_sig_raw, Symbols, Tx_bits, options)
"eth_style_symbol_mapping", 0);
dfe_results.config.equalizer_structure = "dfe";
dfe_results.metrics.print;
dfe_results.metrics.print("description",'DFE');
output.dfe_package = dfe_results;
end
@@ -144,8 +145,8 @@ function output = dsp_scope_signal(Scpe_sig_raw, Symbols, Tx_bits, options)
"eth_style_symbol_mapping", 0);
ffe_results.config.equalizer_structure = "vnle";
ffe_results.metrics.print;
mlse_results.metrics.print;
ffe_results.metrics.print("description",'VNLE');
mlse_results.metrics.print("description",'MLSE');
output.mlse_package = mlse_results;
output.vnle_package = ffe_results;
@@ -190,7 +191,7 @@ function output = dsp_scope_signal(Scpe_sig_raw, Symbols, Tx_bits, options)
"decoding_mode", decoding_mode);
end
dbt_results.metrics.print;
dbt_results.metrics.print("description",'Duob. Target');
output.dbtgt_package = dbt_results;
end
end

6
Functions/EQ_structures/duobinary_target.m
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@@ -14,6 +14,7 @@ function [db_results] = duobinary_target(eq_, mlse_,M, rx_signal, tx_symbols, tx
options.decoding_mode db_decoder = db_decoder.sequencedetection;
end
%Duobinary Targeting
db_ref_sequence = Duobinary().encode(tx_symbols);
@@ -172,14 +173,15 @@ function [db_results] = duobinary_target(eq_, mlse_,M, rx_signal, tx_symbols, tx
rx_signal.spectrum("normalizeTo0dB",1,"fignum",250,"displayname","Rx Spectrum");
Duobinary().encode(tx_symbols).spectrum("normalizeTo0dB",1,"fignum",10,"displayname","DB encoded reference");
Duobinary().encode(tx_symbols).spectrum("normalizeTo0dB",1,"fignum",250,"displayname","DB encoded reference");
showEQNoisePSD(eq_noise,"fignum",250,"displayname",'Duobinary Target Noise after Equalization');
fprintf('DB tgt BER: %.2e \n',ber_db);
figure(341); clf;
showLevelHistogram(eq_signal, db_ref_sequence, "fignum", 341);
tx_symbols_uncoded = Duobinary().decode(db_ref_sequence);
showLevelHistogram(eq_signal, db_ref_sequence, "fignum", 341,"ref_symbol_uncoded",tx_symbols_uncoded);
end

3
Functions/EQ_structures/ffe.m
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@@ -171,6 +171,8 @@ function displayAnalysis(eq_noise, eq_signal_sd, rx_signal, eq_, tx_symbols, M,
showEQNoisePSD(eq_noise, "fignum", 103, "displayname", 'Residual Noise after FFE');
% showEQcoefficients('n1', eq_.e, "displayname", 'Coefficients', 'fignum', 104);
% Figure 2: Post-FFE coefficients (if available)
if ~isempty(postFFE)
showEQcoefficients('n1', postFFE.e, "displayname", 'Coefficients', 'fignum', 104);
@@ -179,7 +181,6 @@ function displayAnalysis(eq_noise, eq_signal_sd, rx_signal, eq_, tx_symbols, M,
try
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

4
Functions/EQ_structures/vnle_postfilter_mlse.m
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@@ -48,6 +48,8 @@ eq_signal_hd = PAMmapper(M, 0).quantize(eq_signal_sd);
[mlse_sig_sd,whitened_noise] = pf_.process(eq_signal_sd, eq_noise);
[tx_symbols_pr,~] = pf_.process(tx_symbols, eq_noise);
if 0 %tx_symbols.fs > 190e9
if pf_.ncoeff == 1
if pf_.coefficients(2) < 0
@@ -283,7 +285,7 @@ if ~isempty(postFFE)
showEQcoefficients('n1', postFFE.e, "displayname", 'Coefficients', 'fignum', 341);
end
% showEQcoefficients('n1', eq_.e1,'n2', eq_.e2,'n3', eq_.e3, "displayname", 'Coefficients', 'fignum', 339);
showEQcoefficients('n1', eq_.e,'n2', eq_.e2,'n3', eq_.e3, "displayname", 'Coefficients', 'fignum', 339);
showEQfilter(eq_.e, eq_signal_sd.fs.*2);
figure(340); clf;