Principal Component Spectral Analysis

Version 1.2.0.1 (2,1 ko) par Martti K
A two-dimensional histogram of Power Spectral Densities.
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Mise à jour 1 sept. 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

Citation pour cette source

Martti K (2024). Principal Component Spectral Analysis (https://www.mathworks.com/matlabcentral/fileexchange/23609-principal-component-spectral-analysis), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2009a
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Version Publié le Notes de version
1.2.0.1

Updated license
1.2.0.0

Fixed a couple of typos
1.0.0.0