LMD: A Self-Adaptive Approach for Demodulating Multi-Component Signal

Local Mean Decomposition is an iterative and self-adaptive approach for demodulating, processing, and analyzing multi-component amplitude modulated and frequency modulated signals. This R package is based on the approach suggested by Smith (2005) <doi:10.1098/rsif.2005.0058> and the 'Python' library 'PyLMD'.

Version:	1.2.1
Depends:	R (≥ 3.6.0)
Imports:	EMD, ggplot2, patchwork, shiny, utils
Suggests:	knitr, rmarkdown, ggformula, testthat (≥ 3.0.0)
Published:	2025-10-02
DOI:	10.32614/CRAN.package.LMD
Author:	Shubhra Prakash [trl, aut, cre]
Maintainer:	Shubhra Prakash <shubhraprakash279 at gmail.com>
BugReports:	https://github.com/shubhra-opensource/LMD/issues
License:	Apache License (≥ 2)
URL:	https://github.com/shubhra-opensource/LMD, https://shubhra-opensource.github.io/LMD/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	LMD results

Documentation:

Reference manual:	LMD.html , LMD.pdf
Vignettes:	Getting_Started_with_LMD (source, R code)

Downloads:

Package source:	LMD_1.2.1.tar.gz
Windows binaries:	r-devel: LMD_1.0.0.zip, r-release: LMD_1.0.0.zip, r-oldrel: LMD_1.0.0.zip
macOS binaries:	r-release (arm64): LMD_1.0.0.tgz, r-oldrel (arm64): LMD_1.0.0.tgz, r-release (x86_64): LMD_1.2.1.tgz, r-oldrel (x86_64): LMD_1.2.1.tgz
Old sources:	LMD archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=LMD to link to this page.