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Many changes here and there. I lost track... :-(

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Current work is on MLSE and SD Decoding etc. MLSE is currently not 100% working, the scalings are maybe off?!
This commit is contained in:
Silas Oettinghaus
2025-08-11 07:42:04 +02:00
parent 09d9e5011c
commit 5dbc48abc0
37 changed files with 1506 additions and 570 deletions
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48
Functions/Metrics/calc_snr.m
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@@ -1,24 +1,32 @@
function [snr_all, snr_per_level] = calc_snr(tx_signal, eq_noise)
% CALC_SNR Calculates overall SNR and level-wise SNR for a PAM-M constellation.
%
% [snr_all, snr_per_level] = calc_snr(tx_signal, eq_noise)
%
% Inputs:
% tx_signal - Vector of transmitted signal values.
% eq_noise - Vector of corresponding noise samples.
%
% Outputs:
% snr_all - Overall SNR computed using all signal values.
% snr_per_level - A vector where each element is the SNR computed
% for a unique amplitude level in tx_signal.
%
% The function first computes the overall SNR using the full signal vectors.
% Then it uses the unique levels in tx_signal to calculate the SNR for
% the symbols corresponding to each level separately.
% CALC_SNR Calculates overall SNR and level-wise SNR for a PAM-M constellation.
%
% [snr_all, snr_per_level] = calc_snr(tx_signal, eq_noise)
%
% Inputs:
% tx_signal - Vector of transmitted signal values.
% eq_noise - Vector of corresponding noise samples.
%
% Outputs:
% snr_all - Overall SNR computed using all signal values.
% snr_per_level - A vector where each element is the SNR computed
% for a unique amplitude level in tx_signal.
%
% The function first computes the overall SNR using the full signal vectors.
% Then it uses the unique levels in tx_signal to calculate the SNR for
% the symbols corresponding to each level separately.
if isa(tx_signal,'Signal')
tx_signal = tx_signal.signal;
end
if isa(eq_noise,'Signal')
eq_noise = eq_noise.signal;
end
% Calculate overall SNR using the complete signals
snr_all = snr(tx_signal, eq_noise);
% Get the unique amplitude levels in the transmitted signal
levels = unique(tx_signal);
@@ -27,10 +35,10 @@ function [snr_all, snr_per_level] = calc_snr(tx_signal, eq_noise)
for i = 1:length(levels)
% Find indices where tx_signal equals the current level
idx = (tx_signal == levels(i));
% Compute the SNR for these indices
snr_per_level(i) = snr(tx_signal(idx), eq_noise(idx));
histogram(eq_noise(idx));
end
end