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Principal Component Spectral Analysis

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Principal Component Spectral Analysis


Martti K (view profile)


09 Apr 2009 (Updated )

A two-dimensional histogram of Power Spectral Densities.

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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.

Required Products Signal Processing Toolbox
Statistics and Machine Learning Toolbox
MATLAB release MATLAB 7.8 (R2009a)
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29 Jun 2011 Eric

Eric (view profile)

Above link dead. See

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21 Apr 2009 1.2

Fixed a couple of typos

01 Sep 2016

Updated license

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