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Company:	Systat Software, Inc.
License:	Demo
Version:	1
System:	Win 3.1x,Win95,Win98,WinME,WinNT 3.x,WinNT 4.x,Windows2000,WinXP,Windows2003
Size:	13825 KB
Date Released:	25-06-2004
Price:	799.00
Screenshot:	Click here to see Screenshot
Downloads:	1020
Homepage:	http://www.systat.com/products/AutoSignal/
Date added:	Sep 27, 2005
Click here to Download

AutoSignal is the first and only program that completely automates the process of analyzing signals. It gives researchers the power to rapidly find components of complex signals that normally require extensive programming and mathematical routines. It takes full advantage of its graphical user intuitive interface to simplify every aspect of operation, from data import to output of results. AutoRegressive linear models offer robust models that can quickly handle smaller data sets that FFT cannot accurately analyse. With AutoSignal, you can also recover signal components based on power - the component may be sinusoidal, a square wave, a sawtooth or anharmonic pattern. It lets you see a complete picture of the frequency space using the library of six Fourier Spectrum methods with total flexibility. It gives you a choice of three adjustable mother wavelets: Morlet, Paul and Gaussian Derivative - in both real and complex forms to optimise localisation results. Scientists and engineers can perform complex signal analysis without programming by selecting menu items that determine how the computer will analyze and present data. Selecting a processing step or algorithm causes the software to provide further menus or windows so users can tailor performance to their needs. After the user makes a processing selection, the software immediately presents processing results in 2-D or 3-D views Built-in spectral analysis procedures include : FFT AutoRegressive Moving Average ARMA Complex exponential modeling Minimum variance methods Eigen analysis frequency estimation and Wavelets AutoSignal consists of many important leading edge signal analysis, filtration, prediction, and noise removal technologies.

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