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) and the 'Python' library 'PyLMD'.


LMD

Based on Jonathan S. Smith. The local mean decomposition and its application to EEG perception data. Journal of the Royal Society Interface, 2005, 2(5): 443-454.

Reference manual

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install.packages("LMD")

1.2.1 by Shubhra Prakash, a year ago


https://github.com/shubhra-opensource/LMD, https://shubhra-opensource.github.io/LMD/


Report a bug at https://github.com/shubhra-opensource/LMD/issues


Browse source code at https://github.com/cran/LMD


Authors: Shubhra Prakash [trl, aut, cre]


Documentation:   PDF Manual  


Apache License (>= 2) license


Imports EMD, ggplot2, patchwork, shiny, utils

Suggests knitr, rmarkdown, ggformula, testthat


See at CRAN