Whitening Data as Preparation for Blind Source Separation
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-04-08
Show 2 earlier changesHide 2 earlier changes
- ERROR13 OK, 1 ERROR2026-04-07
- OK14 OK2026-03-10
Documentation
- Help pages
- 2includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing BSSprep adds 2 packages (2 with compiled code, 2.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.1Latest2021-03-29 · current release
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-03-29
- Total releases
- 1 / 5 yrs
- License
- GPL (>= 2) OSI
- Download size
- 3.3 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("BSSprep")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.