Package: BSSprep 0.1

Markus Matilainen

BSSprep: Whitening Data as Preparation for Blind Source Separation

Whitening is the first step of almost all blind source separation (BSS) methods. A fast implementation of whitening for BSS is implemented to serve as a lightweight dependency for packages providing BSS methods.

Authors:Markus Matilainen [cre, aut], Klaus Nordhausen [aut]

BSSprep_0.1.tar.gz
BSSprep_0.1.tar.gz(r-4.5-noble)BSSprep_0.1.tar.gz(r-4.4-noble)
BSSprep_0.1.tgz(r-4.4-emscripten)BSSprep_0.1.tgz(r-4.3-emscripten)
BSSprep.pdf |BSSprep.html
BSSprep/json (API)

# Install 'BSSprep' in R:
install.packages('BSSprep', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.08 score 4 packages 226 downloads 1 exports 2 dependencies

Last updated 4 years agofrom:c280051ff8. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024

Exports:BSSprep

Dependencies:RcppRcppArmadillo