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  "Title": "Spearman Variational Mode Decomposition",
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  "Authors@R": "c(person(\"Dr. Himadri Shekhar\", \"Roy\", role = c(\"aut\",\"cre\"), email = \"himadriiasri@gmail.com\"),\nperson(\" Dr. Ranjit Kumar\", \"Paul\", role = \"aut\", email = \"ranjitstat@gmail.com\"),\nperson(\" Dr. Chiranjit\", \"Mazumder\", role = \"aut\", email = \"majumder.chira@gmail.com\"),\nperson(\" Dr. Kamalika\", \"Nath\", role = \"aut\", email = \"kamalikanath@gmail.com\"),\nperson(\" Dr. Prakash\", \"Kumar\", role = \"aut\", email = \"prakash289111@gmail.com\"))",
  "Author": "Dr. Himadri Shekhar Roy [aut, cre], Dr. Ranjit Kumar Paul\n[aut], Dr. Chiranjit Mazumder [aut], Dr. Kamalika Nath [aut],\nDr. Prakash Kumar [aut]",
  "Maintainer": "Dr. Himadri Shekhar Roy <himadriiasri@gmail.com>",
  "Description": "In practice, it is difficult to determine the number of\ndecomposition modes, K, for Variational Mode Decomposition\n(VMD). To overcome this issue, this study offers Spearman\nVariational Mode Decomposition (SVMD), a method that uses the\nSpearman correlation coefficient to calculate the ideal mode\nnumber. Unlike the Pearson correlation coefficient, which only\nreturns a perfect value when X and Y are linearly connected,\nthe Spearman correlation can be calculated without knowing the\nprobability distributions of X and Y. The Spearman correlation\ncoefficient, also called Spearman's rank correlation\ncoefficient, is a subset of a wider correlation coefficient. As\nVMD decomposes a signal, the Spearman correlation coefficient\nbetween the reconstructed and original sequences rises as the\nmode number K increases. Once the signal has been fully\ndecomposed, subsequent increases in K cause the correlation to\ngradually level off. When the correlation reaches a specific\nlevel, VMD is said to have adequately decomposed the signal.\nNumerous experiments revealed that a threshold of 0.997\nproduces the best denoising effect, so the threshold is set at\n0.997. This package has been developed using concept of Yang et\nal. (2021)<doi:10.1016/j.aej.2021.01.055>.",
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  "Date/Publication": "2024-09-17 02:32:53 UTC",
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