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Principal Component Spectral Analysis

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important script information
company name:
Martti KesdoTAniemi
license: Free
minimum requirements: MATLAB 7.8 (R2009a)
functional limitations:
Principal Component Spectral Analysis description


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.Seehttp://www.grc.nasa.gov/WWW/MMAP/PIMS/MEIT/MEIT_pdfs/meit2002/Section7.pdf ://http://www.grc.nasa.gov/WWW/MMAP/PI...2/Section7.pdf



Relates:
Domain - Period - Technique - Analysis - Histogram - Sample - Transform - Examine - Spectral - Spectrogram - Frequencies - Characteristics - Magnitudes - Summarizes - Frequencymagnitude - Twodimensional
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