Package: SVMD
Type: Package
Title: Spearman Variational Mode Decomposition
Version: 0.1.0
Authors@R: c(person("Dr. Himadri Shekhar", "Roy", role = c("aut","cre"), email = "himadriiasri@gmail.com"),
    person(" Dr. Ranjit Kumar", "Paul", role = "aut", email = "ranjitstat@gmail.com"),
    person(" Dr. Chiranjit", "Mazumder", role = "aut", email = "majumder.chira@gmail.com"),
    person(" Dr. Kamalika", "Nath", role = "aut", email = "kamalikanath@gmail.com"),
    person(" Dr. Prakash", "Kumar", role = "aut", email = "prakash289111@gmail.com"))
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@gmail.com>
Description: 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>.
License: GPL-3
Encoding: UTF-8
Imports: VMDecomp, stats
NeedsCompilation: no
RoxygenNote: 7.3.1
Packaged: 2026-09-22 11:26:34 UTC; root
Repository: https://himadriiasri.r-universe.dev
Date/Publication: 2024-09-17 02:32:53 UTC
RemoteUrl: https://github.com/cran/SVMD
RemoteRef: HEAD
RemoteSha: d585dad91441b801f5308e0cb92c234542dff657