Principal Component Spectral Analysis

Version 1.2.0.1 (2.1 KB) by Martti K
A two-dimensional histogram of Power Spectral Densities.
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Updated 1 Sep 2016

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

Cite As

Martti K (2026). Principal Component Spectral Analysis (https://se.mathworks.com/matlabcentral/fileexchange/23609-principal-component-spectral-analysis), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2009a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.2.0.1

Updated license
1.2.0.0

Fixed a couple of typos
1.0.0.0