Package: LMD 1.1.0

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:Shubhra Prakash [trl, aut, cre]

LMD_1.1.0.tar.gz
LMD_1.1.0.zip(r-4.5)LMD_1.1.0.zip(r-4.4)LMD_1.1.0.zip(r-4.3)
LMD_1.1.0.tgz(r-4.4-any)LMD_1.1.0.tgz(r-4.3-any)
LMD_1.1.0.tar.gz(r-4.5-noble)LMD_1.1.0.tar.gz(r-4.4-noble)
LMD_1.1.0.tgz(r-4.4-emscripten)LMD_1.1.0.tgz(r-4.3-emscripten)
LMD.pdf |LMD.html✨
LMD/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/shubhra-opensource/lmd/issues

On CRAN:

8 exports 0.63 score 58 dependencies 1 scripts 225 downloads

Last updated 1 years agofrom:7994f5094a. Checks:OK: 7. Indexed: yes.

Exports:extract_product_functionfind_extremais_monotonouslmdlmd_shinylocal_mean_and_envelopemoving_average_smoothplot_lmd

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestdotCall64EMDfansifarverfastmapfieldsfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelocfitmagrittrmapsMASSMatrixmemoisemgcvmimemunsellnlmepatchworkpillarpkgconfigpromisesR6rappdirsRColorBrewerRcpprlangsassscalesshinysourcetoolsspamtibbleutf8vctrsviridisLitewithrxtable