function [eq_signal,eq_noise,ber,numErrors] = vnle(EQ,M,rx_signal,tx_symbols,tx_bits,emulate_precode)
    %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);

    eq_signal = PAMmapper(M,0).quantize(eq_signal);
    
    if emulate_precode
        eq_signal = Duobinary().encode(eq_signal);
        eq_signal = Duobinary().decode(eq_signal);
    
        tx_symbols= Duobinary().encode(tx_symbols);
        tx_symbols = Duobinary().decode(tx_symbols);
        tx_bits = PAMmapper(M,0).demap(tx_symbols);
    end
    
    % 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