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Abstract: CPO-SVMD Decomposition | Matlab Implementation of CPO-SVMD Hedgehog Algorithm Optimization
1
Basic Introduction
CPO-SVMD Decomposition | Matlab Implementation of CPO-SVMD Hedgehog Algorithm Optimization
Includes 15 types of fitness functions used to optimize SVMD:
1 Minimum envelope entropy, Envelope entropy
2 Minimum information entropy, Information entropy
3 Minimum permutation entropy, Permutation entropy
4 Minimum sample entropy, Sample entropy
5 Minimum energy entropy, energy entropy
6 Minimum energy error, energy error
7 Minimum kurtosis, kurtosis
8 Minimum average envelope entropy, Average Envelope entropy
9 Minimum fuzzy entropy, Fuzzy entropy
10 Minimum envelope kurtosis factor, Envelope kurtosis
11 Minimum crest factor of envelope spectrum, crest factor of envelope spectrum
12 Maximum mutual information coefficient
13 Pearson correlation coefficient
14 Minimum residual error index, residual error index (REI)
15 Minimum mutual information entropy, Mutual Information
2
Running Effect
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3
Other Code
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