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Peaks picking

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Peaks picking



Finds peaks or troughs in a vector o 2-D matrix.

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PICKPEAKS is similar to MATLAB's FINDPEAKS; it returns local peaks and their indices for the input X. The main differences are that PICKPEAKS
- is faster (much faster for large vectors),
- allows X to be a 2D matrix (not just a vector) and the user can specify across which dimension to look for peaks.
- picks either peaks or troughs.
- does not provide the FINDPEAKS option ‘THRESHOLD’.
- does not provide the FINDPEAKS’ options: ‘MINPEAKHEIGHT’, ‘NPEAKS’, ‘SORTSTR’. Those can be achieved easily by manipulating the output. E.g. if Vo, Io are the output of PICKPEAKS, the following will yield the same result as setting ‘MINPEAKHEIGHT’ to 0.5:
   i = find(Vo<0.5);
   Vo(i) = [];
   Io(i) = [];

The syntax is
   [Vo,Io] = PICKPEAKS(X,npts,dim,mode);

Examples of usage are:
[Vo,Io] = PICKPEAKS(X,[],[],’troughs’);
[Vo,Io] = PICKPEAKS(X,10,[],’troughs’); % require at least 10 samples distance between troughs.
[Vo,Io] = PICKPEAKS(X,[],2); % search for peaks across rows

The screenshot was generated by
   x = randn(200,1);
   tic, [val,ind] = pickpeaks(x,10); toc
   tic, [pks,loc] = findpeaks(x,'minpeakdistance',10); toc
   figure, plot(x), hold all, plot(ind,val,'ro', loc,pks,'k+', 'MarkerSize',10), legend('x','pickpeaks','findpeaks')

Notice another difference between FINDPEAKS and PICKPEAKS: FINDPEAKS does not qualify some peaks (e.g. 3 peaks around sample 50) because there are other peaks in their vicinity, which did not qualify either. PICKPEAKS will pick those as well.


Localpeaks inspired this file.

MATLAB release MATLAB 7.9 (R2009b)
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Comments and Ratings (3)
12 Nov 2012 Vo Thanh Tu

12 Nov 2012 Vo Thanh Tu

01 Jul 2012 santty isma


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