The Animated Zoo
Slideshow of applications of the interactive peak
|Jumping from peak to
peak in iPeak
(space and tab keys)
custom first-guess peak position in the keypress
operated interactive peak fitter, ipf.m
with the keypress operated
using the keypress operated
iSignal function in frequency spectrum
curve fitting a very noisy signal using peakfit.m
|Demonstration of some
of the various functions of
Following the evolution of an
exponential pulse using peakfit.m
Following the internal
operation of iterative
curve fitting of two blended Gaussian peaks,
drastically slowed down to show the internal
search for the best fit.
Finding and fitting variable numbers of
peaks. Peak detection followed by iterative curve
fitting using findpeaksfit.m
Applying repetitive curve fits
to a signal that is changing with time.
Effect of changing the width of a
Gaussian peak (upper panel) on its frequency spectrum
subtraction in the keypress operated
interactive peak fitter, ipf.m.
de-tailing (symmetrizing) of peaks using the
keypress operated iPeak
The iPower demonstrator
shows the frequency
of various types of signals.
Effect of deconvolution width
on the Fourier deconvolution of a Gaussian-broadened
narrow peak, with the aim of recovering the
Looking for the peaks
in a complex experimental signal using the keypress
operated Matlab function iPeak.m
of an exponentially-broadened Gaussian by
weighted addition of the first derivative.
Measuring peak height and area by
different methods in a variety of signal types, using measurepeaks.m. The
individual peaks are displayed separately in the right-hand
panel, with the peaks, valleys, and tangent lines shown in
Spreadsheet for quadratic least squares fit
to a calibration
curve, as data are typed in point by point
Background information on these and other signal
processing methods is available in:
Unsolicited Comments from Users
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been impressed by
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Copyright (c) 2021 Thomas C. O'Haver
Permission is hereby granted, free of charge, to any person
obtaining a copy of this software and associated documentation
files (the "Software"), to deal in the Software without
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First edition created in 2006. Last updated
October, 2021. Created with SeaMonkey.
This page is part of "A Pragmatic
Introduction to Signal Processing", a retirement
project and international community
service, created and maintained by Prof. Tom O'Haver ,
Department of Chemistry and Biochemistry, The University of Maryland
at College Park. Comments, suggestions and questions should be
directed to Prof. O'Haver at email@example.com.