CLEANUP - changes to folder structure

This commit is contained in:
Silas Oettinghaus
2026-03-25 10:57:48 +01:00
parent 0c5ad28f0a
commit 0ae846d3c3
351 changed files with 405 additions and 1294 deletions

View File

@@ -0,0 +1,68 @@
M = 4;
apply_precode = 1;
bitpattern = [];
s = RandStream('twister','Seed',1);
for i = 1:log2(M)
N = 2^(17-1); %length of prbs
bitpattern(:,i) = randi(s,[0 1], N, 1);
end
if M == 6
bitpattern = reshape(bitpattern',[],1);
bitpattern = bitpattern(1:end-mod(length(bitpattern),5));
end
bits = Informationsignal(bitpattern);
symbols = PAMmapper(M,0).map(bits);
bits_rx = PAMmapper(M,0).demap(symbols);
[~,~,ber_direct,~] = calc_ber(bits.signal,bits_rx.signal,"skip_front",0,"skip_end",0,"returnErrorLocation",1);
if apply_precode
symbols_tx = Duobinary().precode(symbols);
else
symbols_tx = symbols;
end
disp(['Tx Sequenz: -- RMS:',sprintf('%.1f',rms(symbols_rx.signal)),' - - Levels -',num2str(numel(unique(symbols_rx.signal)))]);
unique(symbols_tx.signal)
disp('- - - - - - - - - -');
show2Dconstellation(symbols_tx,symbols_tx,"displayname",'VNLE Out','fignum',2241);
if apply_precode
% Entschiedene Symbole codieren: d_DB(n) = d(n) + d(n-1) (im Fall von PAM4 7 level [0 1 2 3 4 5 6])
symbols_db = Duobinary().encode(symbols_tx);
disp(['DB encoded -- RMS:',sprintf('%.1f',rms(symbols_db.signal)),' - - Levels -',num2str(numel(unique(symbols_db.signal)))]);
unique(symbols_db.signal)
disp('- - - - - - - - - -');
% Entschiedene codierte Symbole decodieren: d_dec(n) = d_DB(n) mod4
symbols_rx = Duobinary().decode(symbols_db);
else
symbols_rx = symbols_tx;
end
% Vergleichen von b(n) und d_dec(n)
bits_rx = PAMmapper(M,0).demap(symbols_rx);
disp(['Wieder normal -- RMS:',sprintf('%.1f',rms(symbols_rx.signal)),' - - Levels -',num2str(numel(unique(symbols_rx.signal)))]);
unique(symbols_rx.signal)
disp('- - - - - - - - - -');
[~,~,ber,~] = calc_ber(bits.signal,bits_rx.signal,"skip_front",10,"skip_end",10,"returnErrorLocation",1);
disp(['BER: ',sprintf('%.1E',ber),' - - PAM-',num2str(M)]);
figure()
subplot(1,2,1)
histogram(symbols_tx.signal,100,'Normalization','count')
subplot(1,2,2)
histogram(symbols_db.signal,100,'Normalization','count')