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SVMD

0.1.0

Spearman Variational Mode Decomposition

0packages depend
1.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Dr. Himadri Shekhar RoyFirst published 2024-09-161 releasesCRAN page ↗

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.

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Health

CRAN checks
13OK
Slowest check: 53 s · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Examples that run
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Documented parameters
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Return-value docs
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References docs
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Downloads

1.8K
CRAN downloads in the past year
Rank #23,526 · ~5/day · ~149/mo
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (2)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

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Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (5)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-09-16
Total releases
1 / 2 yrs
License
GPL-3 OSI
Download size
3.4 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SVMD")
Roy, D. H. S., Kumar, D. P., Mazumder, D. C., Nath, D. K., & Paul, D. R. K. (2024). SVMD: Spearman Variational Mode Decomposition (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.SVMD

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SVMD version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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