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Used to determine signal stability of recursive al
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In addition to its advantages in characterizing the characteristics of system dynamics, recurrence plot (RP) is proved to be a new effective tool for nonlinear analysis. Recent studies have shown that the quantitative analysis of RP (RQA) can obtain many characteristics of RP, such as recurrence rate, certainty rate, ratio, Shannon entropy of line distribution, etc. Further analysis of these characteristics may provide some useful information for unknown dynamical systems. This code is an implementation of RQA.
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Two rapid implementation of PCA algorithm
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Principal component analyses (Principal Component Analysis,PCA) is a statistical methods for mastering the principal contradiction, it can resolve the main influencing factors from the multiple things, revealing the essence of things, simplifying complex issues. Computing principal components designed to bring high-dimensional data onto a lower-dimensional space. Code for PCA implementation, including c and MATLAB realization.
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