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Changes from mwork PC.

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PDP 2025

MPI analysis

new focus on database and SQL
This commit is contained in:
Silas Oettinghaus
2025-03-21 08:11:40 +01:00
parent 402e491506
commit 74066d0669
36 changed files with 2234 additions and 620 deletions
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36
Functions/Metrics/calc_snr.m Normal file
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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.
% 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);
% Preallocate an array to store the SNR for each unique level
snr_per_level = zeros(size(levels));
% Loop over each unique level to compute the SNR for that level
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));
end
end