function showEQNoisePSD(eq_noise, options)
arguments
    eq_noise 
    options.postfilter_taps = NaN
    options.fignum (1,1) double = NaN % Default to NaN if not provided
    options.displayname (1,:) char = '' % Default to an empty string if not provided
    options.color = [];
end

    % Determine the figure number to use or create a new figure
    if isnan(options.fignum)
        fig = figure; % Create a new figure and get its handle
    else
        fig = figure(options.fignum); % Use the specified figure number
    end
    hold on
    ax = gca;
    % N = numel(ax.Children);
    if isempty(options.color)
        N = sum(arrayfun(@(x) strcmp(x.LineStyle, '-'), ax.Children));
        cmap = linspecer(8);
        options.color = cmap(mod(N, size(cmap, 1)) + 1, :);
    end

    % Ensure the figure is ready before calling spectrum
    eq_noise = eq_noise - mean(eq_noise.signal);
    eq_noise.spectrum("displayname", options.displayname, "fignum", fig.Number, "normalizeTo0dB", 0,"color",options.color,"fft_length",4096*2);

    if ~isnan(options.postfilter_taps)
        % Hold on to the figure for further plotting
        hold on;
    
        % Compute the frequency response of the postfilter
        [h, w] = freqz(1, options.postfilter_taps, length(eq_noise), "whole", eq_noise.fs);
        h = h / max(abs(h)); % Normalize the filter response
    
        % Adjust frequency axis to center at 0
        w_ = (w - eq_noise.fs / 2);
    
        % Plot the inverted postfilter response
        plot(w_ * 1e-9, 20 * log10(fftshift(abs(h))), 'DisplayName', ['Burg Coeffs: ', num2str(round(options.postfilter_taps, 2)), ' '], 'LineWidth', 1,'Color',options.color,'LineStyle','--');
    
        % Ensure a legend is displayed
        legend('show');
    end

    xlim([-eq_noise.fs/2* 1e-9 eq_noise.fs/2* 1e-9]);
    % ylim([-15, 0]);

end