function [eq_, pf_, mlse_, mlse_db_, eq_post] = configureEqualizers(M, len_tr, vnle_order, dfe_order, mu_dc, mu_ffe, mu_dfe, pf_ncoeffs)
    % CONFIGUREEQUALIZERS Creates and configures equalizer objects
    %
    % Inputs:
    %   M - PAM level
    %   len_tr - Training length
    %   vnle_order - Array with orders for VNLE [order1, order2, order3]
    %   dfe_order - Array with orders for DFE
    %   mu_dc - DC adaptation rate
    %   mu_ffe - Array with adaptation rates for FFE [mu1, mu2, mu3]
    %   mu_dfe - Adaptation rate for DFE
    %   pf_ncoeffs - Number of coefficients for postfilter
    %
    % Outputs:
    %   eq_ - Configured EQ object
    %   pf_ - Configured Postfilter object
    %   mlse_ - Configured MLSE_viterbi object
    %   mlse_db_ - Configured MLSE_viterbi object for duobinary
    %   eq_post - Configured FFE object for post-processing
    
    % Configure main equalizer
    eq_ = EQ("Ne", vnle_order, "Nb", dfe_order, ...
             "training_length", len_tr, "training_loops", 5, "dd_loops", 5, ...
             "K", 2, "DCmu", mu_dc, "DDmu", [mu_ffe mu_dfe], ...
             "DFEmu", 0.005, "FFEmu", 0, "plotfinal", 0, "ideal_dfe", 1);
    
    % Configure postfilter
    pf_ = Postfilter("ncoeff", pf_ncoeffs, "useBurg", 1);
    
    % Configure MLSE objects
    mlse_ = MLSE_viterbi("duobinary_output", 0, 'M', M, ...
                         'trellis_states', PAMmapper(M,0).levels);
    mlse_db_ = MLSE_viterbi("DIR", [1,1], "duobinary_output", 0, ...
                            "M", M, "trellis_states", PAMmapper(M,0).levels);
    
    % Configure post-FFE
    eq_post = FFE("epochs_tr", 5, "epochs_dd", 5, "len_tr", 4096*2, ...
                  "mu_dd", 1e-4, "mu_tr", 0, "order", 2001, ...
                  "sps", 1, "decide", 0);
    end