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Code Listing by Tom O'Haver

Code 1-10 of 20   Pages: Go to  1  2  Next >>  page  






Interactive differentiation for time- series signals, with sliders that allow you to adjust the derivative order, smooth width, and scale expansion continuously while observing the effect on your signal dynamically.

Run InteractiveDerivativeTest to see how it works.

For more information see http://www.wam.umd.edu/~toh/spectrum/Inter...eDerivative.htm.

Tom O'Haver, toh@umd.edu, July 2006. Slider function by...



A command-line peak fitting program for time-series signals, written as a self-contained Matlab function in a single m-file. Uses an non-linear optimization algorithm to decompose a complex, overlapping-peak signal into its component parts. The...



function [coef, RSquared]=plotdata(xi,yi,polyorder)
A simple data plotting function, useful for inspecting x,y data.
The function accepts data in the form of a single vector, a pair of
vectors "x" and "y", or...



This a very simple function that produces a condensed, approximate version of the time-series signal y, with each group of n adjacent points in y replaced by its average. You can use this to condense over-sampled signals so that subsequent...



ifilter(x,y) or ifilter(y) or ifilter([x y]) or ry=ifilter(x,y,center,width,shape,plotmode,filtermode)
Keyboard-operated interactive Fourier filter function for time-series signal (x,y), with keyboard controls that allow you to adjust the...



A fourier filter for time-series signals. Version 1.5, May 4, 2007, is calibrated specifically for time-based signals. Does not require the Signal Processing Toolbox. By adjusting the parameters, you can create lowpass, highpass, bandpass, and...



[coef, RSquared]=plotfit(x,y,polyorder)
A simple function that accepts x,y data pairs in in the vectors "x" and "y", fits it to a polynomial of order "polyorder", plots the data and the fit, and displays the fit...



Digital signal generator (sumulator) with power spectrum display and sliders for "real time" control, useful for teaching and demonstrating the power spectra of different types of signals and the effect of signal duration and sampling...



Mathematically simple, quickly- computable resolution enhancement for time-series signals consisting of partially overlapping peaks. It is based on subtracting the scaled, smoothed 2nd derivative and adding the scaled, smoothed 4th derivative to...



function P=ipeak(DataMatrix,PeakD,AmpT,SlopeT,SmoothW,FitW)
Keyboard-operated Interactive Peak Finder for data in data matrix "DataMatrix", with x values in row 1 and y values in row 2. Returns the peak table in P (Peak #, Position,...