Principal Component Spectral Analysis
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 .
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1.2.0.1 | Updated license |
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1.2.0.0 | Fixed a couple of typos |
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