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: 1.0.0
Depends: R (≥ 3.6.0)
Imports: EMD, ggplot2, patchwork
Suggests: knitr, rmarkdown, ggformula, testthat (≥ 3.0.0)
Published: 2022-09-20
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
NeedsCompilation: no
Materials: README NEWS
CRAN checks: LMD results


Reference manual: LMD.pdf
Vignettes: Getting_Started_with_LMD


Package source: LMD_1.0.0.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_1.0.0.tgz, r-oldrel (x86_64): LMD_1.0.0.tgz


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