| Description |
iPeak is a keyboard-operated Interactive Peak Finder for time series
data, based on the "findpeaks.m" function. Expected inout forms:
ipeak(y); % Data in single y vector')
ipeak(x,y); % Data in separate x and y vectors')
ipeak(DataMatrix); % Data in two columns of DataMatrix')
ipeak(x,y,10), ipeak([x;y],10) or ipeak(y,10), specifying peak density, PeakD
ipeak(DataMatrix,PeakD,AmpT,SlopeT,SmoothW,FitW) specifying peak density, AmpT, SlopeT, SmoothW, FitW')
ipeak(DataMatrix,PeakD,AmpT,SlopeT,SmoothW,FitW,xcenter,xrange) Adding pan and zoom settings ')
ipeak(DataMatrix,PeakD,AmpT,SlopeT,SmoothW,FitW,xcenter,xrange,Autozero) Adding Autozeo as 9th argument')
ipeak(DataMatrix,PeakD,AmpT,SlopeT,SmoothW,FitW,xcenter,xrange,MaxError,positions,names) Adding peak ID')
EXAMPLE 1: One input argument; data in single vector
>> y=cos(.1:.1:100);ipeak(y)
EXAMPLE 2: One input argument; data in two columns of a matrix
>> x=[0:.01:5]';y=x.*sin(x.^2).^2;M=[x y];ipeak(M);
EXAMPLE 3: Two input arguments; data in separate x and y vectors
>> x=[0:.1:100];y=(x.*sin(x)).^2;ipeak(x,y);
EXAMPLE 4: Additional input argument (after the data) to control peak
sensitivity.
>> x=[0:.1:100];y=5+5.*cos(x)+randn(size(x));ipeak(x,y,10);
or >> ipeak([x;y],10); or >> ipeak(humps(0:.01:2),3)
or >> x=[0:.1:10];y=exp(-(x-5).^2);ipeak([x' y'],1)
T. C. O'Haver (toh@umd.edu), Version 5.3 (April, 2013) adds the E key command to print a table of summary statistics of the maximum, minimum, average, percent standard deviation, and displays histograms of the peak intervals (the x-axis interval between adjacent detected peaks), heights, widths, and areas.
http://terpconnect.umd.edu/~toh/spectrum/PeakFindingandMeasurement.htm
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