Principal Component Spectral Analysis
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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 ://http://www.grc.nasa.gov/WWW/MMAP/PI...2/Section7.pdf
Free download from Shareware Connection - 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
Version: 1.0 | Size: 10 KB | Platform: Matlab, Scripts
Released Date: 13-03-2013 | Rating: 0 | Title: Principal Component Spectral Analysis
Author Url: http://www.mathworks.com
Program Info Url: http://www.mathworks.com
Download Url: http://www.mathworks.com/matlabcentral/fx_files/23609/3/pcsa.zip
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