local maxima minima 1.0

This is a very simple function to find the local maximum in any dimensional array. As simple as it is it still gives nice results.I use the imdilate() function as a maximum operation and then compare the data to the result.The function receives three parameters:the data, a vector defining the minimum distance between peaks in each of the data dimensions. and a flag either to exclude equal points or not.use examples:a = cumsum(randn(1000,1));peaks = localMaximum(a,[100]);figure; plot(a); hold on; plot(peaks,a(peaks),'ro');[x y] = meshgrid(-6:0.1:6,-6:0.1:6);a = sinc(x).*sinc(y);lMaxInd = localmaximum(a,[20 20]);lMinInd = localMaximum(-a,[20 20]);figure; mesh(x,y,a); hold on;plot3(x(lMaxInd),y(lMaxInd),a(lMaxInd),'k*','markersize',10,'linewidth',1.5);plot3(x(lMinInd),y(lMinInd),a(lMinInd),'g*','markersize',10','linewidth',1.5);legend('sinc(x)sinc(y)','peaks','valleys','location','best')P.S- It is recommended to run (if possible) a LPF on the data before searching for the peaks

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Cumsumrandn Peaks,  Equal,  Examplesa,  Exclude,  Lminind,  Localmaximuma,  Localmaximuma Figure,  Meshgrid,  Meshxya,  Notuse,  Plota,  Plotpeaksapeaks,  Points,  Recommended,  Searching,  Sincxsincylmaxind
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