Principal Component Spectral Analysis
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Principal Component Spectral Analysis Ranking & Summary
File size:
Platform:
Linux / Mac OS / BSD / Solaris
License:
BSD - BSD License
Price:
BSD - BSD License
Downloads:
45
Date added:
2009-08-04
Publisher:
Martti
Principal Component Spectral Analysis description
Principal Component Spectral Analysis is designed as a useful frequency domain analysis technique that can be used to transform PSDs (as those in a spectrogram) to the form of a two-dimensional histogram with frequency-magnitude bins. PCSA can be used to examine the spectral characteristics of a long period of data. It summarizes magnitudes and frequencies in the whole data sample into one 2D plot.
Principal Component Spectral Analysis Screenshot
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Principal Component Spectral Analysis Keywords
Principal Component Spectral Analysis
PSDs
can be used to
be used to
can be used
Frequency Domain Analysis
Power spectral density
Spectral Analysis
Principal component
used to
can be
be used
to transform
spectral
analysis
component
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Principal Component Spectral Analysis Copyright
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