comparison userProgramsTim/fourierautocorrelationhistogram_direct.m @ 38:c2204b18f4a2 tip

End nov big change

+function fach=fourierautocorrelationhistogram_direct(ANpattern,sfreq,plothandle)
+
+
+time_axis = 0:1/sfreq:(size(ANpattern,2)-1)/sfreq;
+
+%find how many samples of AN_pattern are 10ms and 3ms
+%one_sample_is_a_time_of = time_axis(2);
+[tmp, start_time_index] = min(abs(0-time_axis));
+[tmp, stop20_time_index] = min(abs(0.020-time_axis));
+number_of_samples20ms = stop20_time_index - start_time_index;
+
+[tmp, stop3_time_index] = min(abs(0.003-time_axis));
+number_of_samples3ms = stop3_time_index - start_time_index;
+every_3ms = 1:number_of_samples3ms:size(ANpattern,2)-number_of_samples20ms;
+
+hamm_window = hamming(11);
+halfHamming = (length(hamm_window)-1)/2;
+
+% window normalization
+
+norm = conv(ones(1,floor(number_of_samples20ms/2)),hamm_window);
+norm = norm(5+1:end-5)';
+win_size = number_of_samples20ms;
+half_win_size = floor(win_size/2);
+hop_size = number_of_samples3ms;
+
+%preallocation due to speed
+fach = zeros(half_win_size,size(every_3ms,2)+1);
+
+for iCounter = 1:size(ANpattern,1) %each channel
+    fprintf('Channel No. %i\n',iCounter);
+    %time_counter = 1;
+    %for jCounter = every_3ms %every 3ms time segment
+    
+    
+    
+    %% Guy's code
+    % enframe this signal
+    
+    frames = enframe(ANpattern(iCounter,:),win_size,hop_size);
+    
+    % compute the autocorrelation
+    
+    %acf = real(ifft(abs(fft(frames,[],2)).^2,[],2));
+    %acf(acf<0)=0;
+    %acf = sqrt(acf(:,1:half_win_size));
+    
+    % smooth with hamming window and take the root
+    
+    for frame=1:size(frames,1)
+        
+               
+        smoothed_frame = conv(frames(frame,:),hamm_window);
+        smoothed_frame = smoothed_frame(halfHamming+1:end-halfHamming);
+        fsra = 20*log10(abs(fft(smoothed_frame-mean(smoothed_frame))));
+        fsra = fsra(1:floor(length(fsra)/2));
+        
+        t = [0:1/sfreq:length(smoothed_frame)/sfreq-1/sfreq];
+        frequency = [0:1/t(end):1/(2*(t(2)-t(1)))];
+        %identify peaks in the fft
+        df = [0 ; diff(fsra')];
+        idx = find((df(1:end-1)>=0)&(df(2:end)<0));
+%         % interpolate
+%         a=df(idx);
+%         b=df(idx+1);
+%         idx = (idx-1+a./(a-b));
+        [sorted,sortedindex]=sort(fsra(idx),'descend');
+        % just take the three highest values of the fourier-transform
+         valid_peak_index = sortedindex(1:min([length(sortedindex) 1]));
+         amp = sorted(1:min([length(sortedindex) 1]));
+         
+         %store valid peaks according to amplitude in a histogram
+         if (~isempty(valid_peak_index))
+            for k=1:length(valid_peak_index),
+                fach(idx(valid_peak_index(k)),frame) = fach(idx(valid_peak_index(k)),frame)+amp(k);            
+            end
+        end
+         %transform index into frequencies
+         
+    end
+end
+
+
+%plot the result
+if ~exist('plothandle'), plothandle=figure; end
+maxfrequency = 4000;
+[tmp,number_of_channels_to_display] = min(abs(frequency-maxfrequency));
+frequency = frequency(1:number_of_channels_to_display);
+
+set(gcf,'Currentaxes',plothandle);
+
+YTickIdx = 1:floor(numel(frequency)/6):numel(frequency);
+XTickIdx = 1:floor(numel(every_3ms)/6):numel(every_3ms);
+YTickIdxRev = numel(frequency)+1-YTickIdx;
+if ~isempty(gca)
+    axes(gca);  %#ok<MAXES>
+    imagesc(fach(1:number_of_channels_to_display,:));
+    axis xy
+    set(gca, 'YTick', YTickIdx);
+    set(gca, 'YTickLabel', num2str(   frequency(YTickIdx)', '%0.0f' ));
+    ylabel('frequency (Hz)')
+    set(gca, 'XTick', XTickIdx);
+    set(gca, 'XTickLabel', XTickIdx.*3);
+    xlabel('Time (ms)')
+end
+
+
+
+