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In practice, it is difficult to determine the number of decomposition modes, K, for Variational Mode Decomposition (VMD). To overcome this issue, this study offers Spearman Variational Mode Decomposition (SVMD), a method that uses the Spearman correlation coefficient to calculate the ideal mode number. Unlike the Pearson correlation coefficient, which only returns a perfect value when X and Y are linearly connected, the Spearman correlation can be calculated without knowing the probability distributions of X and Y. The Spearman correlation coefficient, also called Spearman's rank correlation coefficient, is a subset of a wider correlation coefficient. As VMD decomposes a signal, the Spearman correlation coefficient between the reconstructed and original sequences rises as the mode number K increases. Once the signal has been fully decomposed, subsequent increases in K cause the correlation to gradually level off. When the correlation reaches a specific level, VMD is said to have adequately decomposed the signal. Numerous experiments revealed that a threshold of 0.997 produces the best denoising effect, so the threshold is set at 0.997. This package has been developed using concept of Yang et al. (2021)<doi:10.1016/j.aej.2021.01.055>.
| Version: | 0.1.0 |
| Imports: | VMDecomp, stats |
| Published: | 2024-09-16 |
| DOI: | 10.32614/CRAN.package.SVMD |
| Author: | Dr. Himadri Shekhar Roy [aut, cre], Dr. Ranjit Kumar Paul [aut], Dr. Chiranjit Mazumder [aut], Dr. Kamalika Nath [aut], Dr. Prakash Kumar [aut] |
| Maintainer: | Dr. Himadri Shekhar Roy <himadriiasri at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | SVMD results |
| Reference manual: | SVMD.pdf |
| Package source: | SVMD_0.1.0.tar.gz |
| Windows binaries: | r-devel: SVMD_0.1.0.zip, r-release: SVMD_0.1.0.zip, r-oldrel: SVMD_0.1.0.zip |
| macOS binaries: | r-release (arm64): SVMD_0.1.0.tgz, r-oldrel (arm64): SVMD_0.1.0.tgz, r-release (x86_64): SVMD_0.1.0.tgz, r-oldrel (x86_64): SVMD_0.1.0.tgz |
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