Auswertung Experiment

Database tüddelei
DBHanlder läuft gut für DIESE Datanbank struktur...
App begonnen aber weit entfernt von gutem Stand
This commit is contained in:
sioe
2024-11-15 16:51:37 +01:00
parent 553ed19b9f
commit 397cfa61dd
219 changed files with 584 additions and 854 deletions

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@@ -1,4 +1,25 @@
function eq_signal = vnle(EQ,rx_signal,tx_symbols)
%VNLE
eq_signal = EQ.process(rx_signal,tx_symbols);
function [eq_signal,eq_noise,ber,numErrors] = vnle(EQ,M,rx_signal,tx_symbols,tx_bits)
%VNLE Apply an equalization algorithm to the received signal and calculate BER
% This function takes an equalizer object, a received signal, and the
% transmitted symbols to apply equalization, map the received signal back to bits,
% and compute the bit error rate (BER).
%
% Inputs:
% EQ - Equalizer object that provides the equalization method
% rx_signal - Received signal that needs to be equalized
% tx_symbols - Transmitted symbols used as a reference for BER calculation
%
% Outputs:
% eq_signal - Equalized version of the received signal
% ber - Bit error rate after equalization
% numErrors - Number of bit errors detected
%FFE or VNLE
[eq_signal,eq_noise] = EQ.process(rx_signal,tx_symbols);
% M = numel(unique(tx_symbols.signal));
rx_bits = PAMmapper(M,0).demap(eq_signal);
[~,numErrors,ber,~] = calc_ber(rx_bits.signal,tx_bits.signal,"skip_front",100,"skip_end",150,"returnErrorLocation",1);
end