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AutoSignal 1.7

Scientists and engineers can perform complex signal analysis without programming by selecting menu items that determine how the computer will analyze

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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