Changes from mwork PC.

PDP 2025

MPI analysis

new focus on database and SQL

Functions/EQ_visuals/showEQcoefficients.m

@@ -1,58 +1,67 @@
-function showEQcoefficients(n1, n2, n3, options)
-    % Show filter coefficients as stem plot
-    % n1, n2, and n3 in different subplots
-    % Scale all y-axis to -1 and 1
+function showEQcoefficients(options)
+    % Show filter coefficients as stem plots.
+    % Only the provided coefficient arrays (n1, n2, n3) are shown,
+    % each in its own subplot. The y-axis is scaled to [-1, 1].
 
     arguments
-        n1
-        n2
-        n3
-        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.n1 = [];
+        options.n2 = [];
+        options.n3 = [];
+        options.fignum (1,1) double = NaN; % Default: create new figure if NaN
+        options.displayname (1,:) char = ''; % Default: empty string
         options.color = [0.2157, 0.4941, 0.7216];
-        options.clf = 0; % Clear figure before plotting new
+        options.clf = 0; % Clear figure before plotting if set to 1
     end
 
-    % Determine the figure number to use or create a new figure
+    % Determine the figure number to use or create a new one.
     if isnan(options.fignum)
-        fig = figure; % Create a new figure and get its handle
+        fig = figure; 
     else
-        fig = figure(options.fignum); % Use the specified figure number
+        fig = figure(options.fignum);
     end
 
     if options.clf
-        clf(fig); % Clear the figure if requested
+        clf(fig);
     end
 
     hold on
     ax = gca;
     N = numel(ax.Children);
 
-    % Set up a colormap for consistent coloring
+    % Set up a colormap for consistent coloring.
     cmap = linspecer(8);
     options.color = cmap(mod(N, size(cmap, 1)) + 1, :);
 
-    % Create subplots for n1, n2, n3
-    for i = 1:3
-        subplot(3, 1, i);
-        switch i
-            case 1
-                stem(n1, 'Color', options.color, 'LineWidth', 1,'Marker','.','MarkerSize',10);
-                title(sprintf('1st order Filter Coefficients: %d',numel(n1)));
-            case 2
-                stem(n2, 'Color', options.color, 'LineWidth', 1,'Marker','.','MarkerSize',10);
-                title(sprintf('2nd order Filter Coefficients: %d',numel(n2)));
-            case 3
-                stem(n3, 'Color', options.color, 'LineWidth', 1,'Marker','.','MarkerSize',10);
-                title(sprintf('3rd order Filter Coefficients: %d',numel(n3)));
-        end
-        ylim([-1, 1]); % Scale y-axis to -1 and 1
+    % Build cell arrays for coefficients and their corresponding titles.
+    coeffs = {};
+    titles = {};
+
+    if ~isempty(options.n1)
+        coeffs{end+1} = options.n1;
+        titles{end+1} = sprintf('1st order Filter Coefficients: %d', numel(options.n1));
+    end
+    if ~isempty(options.n2)
+        coeffs{end+1} = options.n2;
+        titles{end+1} = sprintf('2nd order Filter Coefficients: %d', numel(options.n2));
+    end
+    if ~isempty(options.n3)
+        coeffs{end+1} = options.n3;
+        titles{end+1} = sprintf('3rd order Filter Coefficients: %d', numel(options.n3));
+    end
+
+    numSubplots = numel(coeffs);
+
+    for i = 1:numSubplots
+        subplot(1, numSubplots, i);
+        stem(coeffs{i}, 'Color', options.color, 'LineWidth', 1, ...
+             'Marker', '.', 'MarkerSize', 10);
+        title(titles{i});
+        ylim([-1, 1]); % Set y-axis limits to [-1, 1]
         grid on;
-        grid minor
+        grid minor;
         xlabel('Coefficient Index');
         ylabel('Amplitude');
     end
 
-    % Ensure the layout is tight for better visibility
-    sgtitle('Filter Coefficients'); % Overall title
-end
+    sgtitle('Filter Coefficients'); % Overall title for the figure
+end

Functions/EQ_visuals/showEQfilter.m

@@ -0,0 +1,36 @@
+
+function showEQfilter(coefficients,fs)
+
+    % Assuming that obj.e contains the final FFE filter coefficients.
+    % Set the number of frequency points and sampling frequency.
+    nfft = 1024;  % Number of frequency points
+    
+    % Compute the frequency response of the FFE filter.
+    [H, f] = freqz(coefficients, 1, nfft, fs);
+    
+    % Keep only the first half of the frequency response (up to the Nyquist frequency).
+    half_nfft = floor(nfft/2) + 1;
+    f = f(1:half_nfft);
+    H = H(1:half_nfft);
+    
+    % Plot the magnitude and phase responses.
+    figure;
+    
+    % Magnitude response (in dB)
+    subplot(2,1,1);
+    hold on
+    plot(f.*1e-9, 20*log10(abs(1./H)));
+    title('(Inverted) Magnitude Response of FFE Filter');
+    xlabel('Frequency (Hz)');
+    ylabel('Magnitude (dB)');
+    grid on;
+    
+    % Phase response
+    subplot(2,1,2);
+    plot(f.*1e-9, unwrap(angle(H)));
+    title('Phase Response of FFE Filter');
+    xlabel('Frequency (Hz)');
+    ylabel('Phase');
+    grid on;
+
+end

Functions/EQ_visuals/showLevelHistogram.m

@@ -39,7 +39,9 @@ end
         intermediate = received_sd(lvl,:);
         cnt(lvl) = round(numel(intermediate(~isnan(intermediate)))./length(eq_signal),3).*100;
         hold on
+        warning off
         histogram(received_sd(lvl,:),1000,"EdgeAlpha",0,'DisplayName',['Lvl ',num2str(lvl),' | ',num2str(cnt(lvl)),' %'],'FaceColor',lvlcol(lvl,:),'Normalization','pdf');
+        warning on
     end
     legend
     grid on