Principal Component Spectral Analysis

版本 1.2.0.1 (2.1 KB) 作者: Martti K

A two-dimensional histogram of Power Spectral Densities.

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更新时间 2016/9/1

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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

引用格式

Martti K (2024). Principal Component Spectral Analysis (https://www.mathworks.com/matlabcentral/fileexchange/23609-principal-component-spectral-analysis), MATLAB Central File Exchange. 检索来源 2024/7/26.