sir_loop = -16;

for lp = 1

    dc_mu = 0.05;

    sir = sir_loop(lp);

    rng(10);

    %% Set Simulation Variables

    sir = sir;

    delay = 40; %mpi delay in meter

    fiblen = 0; %main link in km

    laser_linewidth = 1e6;

    O = 17; %order of prbs
    N = 2^(O-1); %length of prbs
    [~,seed] = prbs(O,1); %initialize first seed of prbs

    % Modulation
    M = 4; %PAM-M
    bitpattern = zeros(N,log2(M));

    % Symbol Rate
    fsym = 112e9;

    % DAC Rate
    fdac = 120e9;

    % Simulation oversampling rate "k";
    kover = 16;

    % ADC Rate
    fadc = 256e9;

    % Simulation frequency in "analog domain"
    fsimu = kover * fdac ;


    %% CONSTRUCT ALL CLASSES

    digimod     = PAMmapper(M,0);

    pulseform   = Pulseformer("pulseform","rrc","fdac",fdac,"fsym",fsym,"pulselength",32,"rrcalpha",0.027);

    awg         = AWG('fdac',fdac,'kover',kover,'lpf_active',1,'f_cutoff',56e9,'lpf_type',filtertypes.gaussian,'bit_resolution',5.5);

    lp_laser    = Filter('filtdegree',1,"f_cutoff",50e9,"fsamp",fdac*kover,"filterType",filtertypes.bessel_inp);

    u_pi = 3.5;
    vbias = (0.5*u_pi)-u_pi;
    extmodlaser = EML("mode",eml_mode.im_cosinus,"power",15,"fsimu",fsimu,"lambda",1550,"bias",vbias,"u_pi",u_pi,"linewidth",laser_linewidth);

    fib         = Fiber("fsimu",fdac*kover,"fiber_length",fiblen,"alpha",0.2,"D",16,"lambda0",thz2nm(193.1),"gamma",0);

    reflectionpoint  = Amplifier("amp_mode","ideal_no_noise","gain_mode","gain","amplification_db",sir);
    reflectionprop   = Fiber("fsimu",fdac*kover,"fiber_length",2*delay/1000,"alpha",0.2,"D",16,"lambda0",1550,"gamma",0);

    opticatten  = Amplifier("amp_mode","ideal_no_noise","gain_mode","output_power","amplification_db",0);

    phdiode     = Photodiode("fsimu",fdac*kover,"dark_current",2e-08,"responsivity",1,"temperature",20);

    lp_diode    = Filter('filtdegree',1,"f_cutoff",50e9,"fsamp",fdac*kover,"filterType",filtertypes.bessel_inp);

    scp         = Scope("fsimu",fdac*kover,"fadc",fadc,...
        "delay",0,"fixed_delay",0,"lpf_bw",113e9,"filtertype",filtertypes.butterworth,...
        "samplingdelay",0,"rand_samplingdelay",0,"freq_offset",0,"samp_jitter",0,...
        "adcresolution",6,"quantbuffer",0.1,'block_dc',1);

    eq          = EQ("K",2,"plottrain",0,"plotfinal",0,...
        "training_length",2048,"training_loops",5,...
        "Ne",[50,0,0],"Nb",[0,0,0],...
        "DCmu",dc_mu,"DDmu",[0.0004 0.0004 0.0004 0.0004 ],"DFEmu",0.005,"FFEmu",0.005,...
        "dd_loops",2,"epsilon",[10 100 1000 ],"M",2,...
        "thres",[0.005 0.004 0.0005 ],"l1act",0,"delay",1,"rho",0.0005,"ideal_dfe",0,"DB_aim",0);


    %% PROCESS

    % PRBS Generation
    for i = 1:log2(M)
        [bitpattern(:,i),seed] = prbs(O,N,seed);
    end
    bitpattern = [bitpattern ; flip(bitpattern)];
    %bitpattern = prms_out';

    % Build Inf. signal class
    bits        = Informationsignal(bitpattern);

    % Digi Mod
    mod_out     = digimod.map(bits);

    % merken für EQ training
    reference   = mod_out;

    % shape shape
    X       = pulseform.process(mod_out);

    % AWG -> ELECTRICAL DOMAIN
    awg_out     = awg.process(X);

    X           = lp_laser.process(awg_out);
    X           = lp_laser.process(X);

    X           = X.normalize("mode","oneone");
    X.signal    = X.signal .* 1.3800;

    % Laser; Modulation ->  OPTICAL DOMAIN
    [X,extmodlaser]           = extmodlaser.process(X);


    % Fiber Propagation
    X           = fib.process(X);
    
    %% Reflect with attenuation
    R = reflectionpoint.process(X);

    % Propagate
    R = reflectionprop.process(R);

    % disp(['SIR ',num2str(10*log10(X.power/R.power))]);

    % Delay
    [R,n] = R.delay("delay_meter",delay);

    % Add together
    X = X+R;

    %%
    X           = opticatten.process(X);
    % X           = edfaamp.process(X);

    % Photo Diode -> ELECTRICAL DOMAIN
    X           = phdiode.process(X);
    X           = lp_diode.process(X);


    % Oscilloscope (Sampling to f_adc; Quantization; Bandwidth Limitation)
    X           = scp.process(X);

    % Resample to Symbol Rate
    X           = X.resample("fs_out",2*fsym,"fs_in",fadc);

    % Normalize
    Eq_in           = X.normalize("mode","rms");

    % Equalizer
    Eq_out           = eq.process(Eq_in,reference);

    %% MPI reduction DC removal
    wl = 1000; % symbols
    yk_dcsm = Eq_out;
    yk_dcsm.signal = Eq_out.signal - 1/wl .* movsum( Eq_out.signal,[wl/2,wl/2]);

    %% MPI reduction Level wise error removal
    yk_lvsm = Eq_out;
    yk_lvlp = Eq_out;
    pre_decision_level_uni  = digimod.decide_pamlevel(Eq_out);
    pre_decision_level_bi   = ( pre_decision_level_uni*2-3 ) .* 1/sqrt(5);

    e = Eq_out.signal - pre_decision_level_bi;

    lp_mpi    = Filter('filtdegree',1,"f_cutoff",2e6,"fsamp",fsym,"filterType",filtertypes.bessel_inp);

    filtered = lp_mpi.process(e);

    wl = 100; % symbols
    smoothed = ( 1/wl .* movsum(e,[wl/2,wl/2])  );

    % remove interference
    for level = 0:3
        yk_lvsm.signal(pre_decision_level_uni==level) = yk_lvsm.signal(pre_decision_level_uni==level) - smoothed(pre_decision_level_uni==level);
        yk_lvlp.signal(pre_decision_level_uni==level) = yk_lvlp.signal(pre_decision_level_uni==level) - filtered(pre_decision_level_uni==level);
    end


    %% MPI Reduction Tunable Notch Filter
%     yk = Eq_in.normalize("mode","oneone");
%     yk = yk.signal;
%     dk = Eq_out.resample("fs_in",fsym,"fs_out",2*fsym);
%     dk = ( digimod.decide_pamlevel(dk) *2-3 ) .* 1/sqrt(5);
%     dk = dk ./ max(abs(dk));
% 
%     xk = yk(4:end)-dk(1:end-3);
% 
%     ya = hilbert(xk);
%     figure;periodogram(abs(ya),[],length(ya),2*fsym,'centered')
%     plot(abs(ya));
%     grid on;

    %% Calc EVM

    evm_bm   = calc_evm(Eq_out.signal, pre_decision_level_bi);
    evm_dcsm = calc_evm(yk_dcsm.signal, pre_decision_level_bi);
    evm_lsm  = calc_evm(yk_lvsm.signal, pre_decision_level_bi);
    evm_llp  = calc_evm(yk_lvlp.signal, pre_decision_level_bi);

    %figure(1);bar([evm_bm' evm_dcsm' evm_llp' evm_lsm']);ylim([0.01 0.1]);set(gca,'yscale','log');

    %% Plot stuff
%     figure(200)
%     hold on
%     for i = 1:4
%         subplot(4,1,i)
%         scatter(1:length(err_),err_(:,i),4,'Marker','.','MarkerEdgeColor',col(i,:));
%     end
% 
%     figure(12);
%     hold on;
%     scatter(1:length(yk_sm.signal),yk_sm.signal,4,'Marker','.','MarkerEdgeColor',col(6,:));
%     for i = 1:4
%         x = err_(:,i);
%         nanx = isnan(x);
%         t    = 1:numel(x);
%         x(nanx) = interp1(t(~nanx), x(~nanx), t(nanx));
%         
%         X(i,:) = x;
%         
%         plot(x(2000:end-2000,1),'LineWidth',2)
%     end
    %% MPI reduction A3 


    % Digi Demod
    d_bm         = digimod.demap(Eq_out);
    d_dcsm       = digimod.demap(yk_dcsm);
    d_lvsm       = digimod.demap(yk_lvsm);
    d_lvlp       = digimod.demap(yk_lvlp);

    % BER
    
    dbit =  length(d_bm.signal)-length(bitpattern);

    [~,errors_bm,ber_bm]     = calc_ber(d_bm.signal(1:end-dbit,:)    ,bitpattern(1:end,:),0);
    [~,errors_dcsm,ber_dcsm] = calc_ber(d_dcsm.signal(1:end-dbit,:)  ,bitpattern(1:end,:),0);
    [~,errors_lvsm,ber_lvsm] = calc_ber(d_lvsm.signal(1:end-dbit,:)  ,bitpattern(1:end,:),0);
    [~,errors_lvlp,ber_lvlp] = calc_ber(d_lvlp.signal(1:end-dbit,:)  ,bitpattern(1:end,:),0);

    % Display
    disp(['BER benchmark: ', sprintf('%2E',ber_bm),   ' ERRORS: ' ,num2str(sum(errors_bm))]);
    disp(['BER dc smooth: ', sprintf('%2E',ber_dcsm), ' ERRORS: ' ,num2str(sum(errors_dcsm))]);
    disp(['BER lv smooth: ', sprintf('%2E',ber_lvsm), ' ERRORS: ' ,num2str(sum(errors_lvsm))]);
    disp(['BER lv lowpas: ', sprintf('%2E',ber_lvlp), ' ERRORS: ' ,num2str(sum(errors_lvlp))]);

    %% Generate some Plots
    if 0
        col = cbrewer2('Paired',8);

        figure(11)
        clf

        subplot(2,1,1)
        hold on
        plot(reference.signal(4150:4175),'DisplayName','Tx','Color',col(1,:),'LineWidth',3);
        plot(eq_out.signal(4150:4175),'DisplayName','Rx after EQ','Color',col(6,:),'LineWidth',1);
        title('Modulated Sequence Zoom');
        legend
        hold off
        subplot(2,1,2)
        hold on
        stem(d_bm.signal(4150:4175,1),'DisplayName','Tx','Color',col(1,:),'LineStyle','-','LineWidth',5)
        stem(bitpattern(4150:4175,1)','DisplayName','Rx','Color',col(6,:),'LineStyle','--','LineWidth',2)
        title('Bitpattern Tx - Rx');
        legend
        hold off

    end
    if 0
        col = cbrewer2('Paired',8);

        xax = 1:Eq_out.length;

        figure(3)
        sgtitle('')
        %     subplot(1,4,1:2)
        %     scatter(1:4:X.length,X.signal(1:4:end),4,'.','MarkerEdgeColor',col(6,:),'DisplayName','Before EQ');
        %     xlim([1, xax(end)]);
        %     %ylim([-2 2]);
        %     xlabel('Sampling Index')
        %     ylabel('Amplitude')
        %     legend
        subplot(1,3,1)
        scatter(1:Eq_in.length,Eq_in.signal,4,'.','MarkerEdgeColor',col(6,:),'DisplayName','After EQ');
        xlim([1, xax(end)]);
        ylim([-2 2]);
        xlabel('Sampling Index')
        ylabel('Amplitude')
        legend

        subplot(1,3,2)
        scatter(xax,Eq_out.signal,4,'.','MarkerEdgeColor',col(6,:),'DisplayName','After EQ');
        xlim([1, xax(end)]);
        ylim([-2 2]);
        xlabel('Sampling Index')
        ylabel('Amplitude')
        legend

        subplot(1,3,3)
        scatter(xax,yk_lvsm.signal,4,'.','MarkerEdgeColor',col(6,:),'DisplayName','After EQ');
        xlim([1, xax(end)]);
        ylim([-2 2]);
        xlabel('Sampling Index')
        ylabel('Amplitude')
        legend
    end

end