Haver

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 rate. Version 1.1 adds sound output. The signal slider selects... Platforms: Matlab

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 the original signal. The algorithm can be... Platforms: Matlab

nteractive smoothing for time-series signals, with sliders that allow you to adjust the smoothing parameters continuously while observing the effect on your signal dynamically. RunSmoothSliderTest to see how it works. Can be used with any smoothing function, but two fast smooth functions are... Platforms: Matlab

function ire(x, signal)Interactive resolution enhancement function for data in the arguments "x,signal". Displays sliders for real-time control of 2nd and 4th derivative weighting factors (factor and factor2) and smooth width. (Larger values of factor1 and factor2 will reduce the peak width but... Platforms: Matlab

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, Height, Width.) See... Platforms: Matlab

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... Platforms: Matlab

Finds peaks in the signal "DataMatrix" (with x-values in column 1 and y-values in column 2), according to the peak detection parameters AmpT, SlopeT, sw, fw (see the "findpeaks" function below), then compares the found peak positions (maximum x-values) to a database of known peaks,in the form of... Platforms: Matlab