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Principal Component Spectral Analysis

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Principal Component Spectral Analysis

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09 Apr 2009 (Updated )

A two-dimensional histogram of Power Spectral Densities.

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Description

PCSA is a 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.

See
http://www.grc.nasa.gov/WWW/MMAP/PIMS/MEIT/MEIT_pdfs/meit2002/Section7.pdf

Required Products Signal Processing Toolbox
Statistics Toolbox
MATLAB release MATLAB 7.8 (R2009a)
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Comments and Ratings (1)
29 Jun 2011 Eric

Above link dead. See

http://pims.grc.nasa.gov/MMAP/PIMS/MEIT/MEIT_pdfs/meit2004/Section_13.pdf

Updates
21 Apr 2009

Fixed a couple of typos

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