ML Equalizer works now.

Not yet perfectly integrated into all the routines

projects/ML_based_MLSE/read_csv.m

@@ -0,0 +1,30 @@
+%% read_wpd_csv.m
+% Minimal importer for WebPlotDigitizer multi-curve CSV
+
+filename = 'wpd_datasets.csv';  % <-- set your file path here
+T = readtable(filename);
+
+% Read header row manually
+fid = fopen(filename);
+hdr1 = strsplit(strrep(fgetl(fid), '"', ''), ','); % curve names
+hdr2 = strsplit(strrep(fgetl(fid), '"', ''), ','); % X/Y header row
+fclose(fid);
+
+% Extract unique curve names
+names = hdr1(~cellfun('isempty',hdr1));
+
+% Create struct for each curve
+mii = struct();
+for i = 1:numel(names)
+    base = matlab.lang.makeValidName(strrep(names{i},' ','_'));
+    xi = 2*(i-1)+1;   % X column
+    yi = xi+1;        % Y column
+    mii.(base).X = T{:,xi};
+    mii.(base).Y = T{:,yi};
+    
+    % also create workspace variable "name_wpd"
+    assignin('base',[base '_wpd'], mii.(base));
+end
+
+disp('Imported datasets:');
+disp(fieldnames(mii));