EigenAnalysis Frequency Spectrum
Splash Screen
Fourier Spectrum
Data Tapering Windows
Data Tapering Windows 2
AutoRegressive Spectrum
Moving Average Spectrum
Prony Energy Spectrum
Minimum Variance
EigenAnalysis Spectrum
Short-Time Spectrum
Wavelet Spectrum
Wavelet Viewer
Wavelet Frequecny Range
File Menu
Edit Menu
Data Menu
Time Menu
Spectral Menu
Process Menu
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The EigenAnalysis Spectrum option in the Spectral menu or the Spectral toolbar offers four high-performance frequency estimation algorithms. These algorithms are use eigendecomposition methods to generate noise subspace frequency estimators. Theses procedures are perhaps the most accurate and robust of all the spectral procedures within AutoSignal for estimating harmonic frequencies.

The EigenAnalysis Spectrum option in the Spectral menu or the Spectral toolbar offers four high-performance frequency estimation algorithms. These algorithms are use eigendecomposition methods to generate noise subspace frequency estimators. Theses procedures are perhaps the most accurate and robust of all the spectral procedures within AutoSignal for estimating harmonic frequencies.

Splash Screen
Fourier Spectrum
Data Tapering Windows
Data Tapering Windows 2
AutoRegressive Spectrum
Moving Average Spectrum
Prony Energy Spectrum
Minimum Variance
EigenAnalysis Spectrum
Short-Time Spectrum
Wavelet Spectrum
Wavelet Viewer
Wavelet Frequecny Range
File Menu
Edit Menu
Data Menu
Time Menu
Spectral Menu
Process Menu
Help Menu
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