Abstract | Introduction | LMD | Steps for PF Extraction | Step 1 | Step 2 | Step 3 | Step 4 | Step 5 | Step 6 | Step 7 | Flowchart of LMD | Analysis of a simulated signal | Drawbacks of LMD | Applications | References
Package: LMD 1.2.1
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'.
Authors:
LMD_1.2.1.tar.gz
LMD_1.2.1.zip(r-4.7-any)LMD_1.2.1.zip(r-4.6-any)LMD_1.2.1.zip(r-4.5-any)
LMD_1.2.1.tgz(r-4.6-any)LMD_1.2.1.tgz(r-4.5-any)
LMD_1.2.1.tar.gz(r-4.7-any)LMD_1.2.1.tar.gz(r-4.6-any)
LMD_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
LMD/json (API)
| # Install 'LMD' in R: |
| install.packages('LMD', repos = c('https://shubhra-opensource.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/shubhra-opensource/lmd/issues
Pkgdown/docs site:https://shubhra-opensource.github.io
Last updated from:2e1b15ba1a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 194 | ||
| source / vignettes | OK | 202 | ||
| linux-release | OK | 167 | ||
| macos-release | OK | 144 | ||
| macos-oldrel | OK | 201 | ||
| windows-devel | OK | 134 | ||
| windows-release | OK | 103 | ||
| windows-oldrel | OK | 105 | ||
| wasm-release | OK | 112 |
Exports:extract_product_functionfind_extremais_monotonouslmdlmd_shinylocal_mean_and_envelopemoving_average_smoothplot_lmd
Dependencies:base64encbslibcachemclicommonmarkcpp11digestdotCall64EMDfarverfastmapfieldsfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelocfitmagrittrmapsmemoisemimeotelpatchworkpromisesR6rappdirsRColorBrewerRcpprlangS7sassscalesshinysourcetoolsspamvctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract Product Function | extract_product_function |
| Find Extreme Points | find_extrema |
| Monotonicity Check | is_monotonous |
| Local Mean Decomposition | lmd |
| LMD Shiny | lmd_shiny |
| Local Mean and Envelope | local_mean_and_envelope |
| Weighted Moving Average | moving_average_smooth |
| LMD Plot | plot_lmd |