Package: sgolay 1.0.3

Sergio Oller Moreno

sgolay: Efficient Savitzky-Golay Filtering

Smoothing signals and computing their derivatives is a common requirement in signal processing workflows. Savitzky-Golay filters are a established method able to do both (Savitzky and Golay, 1964 <doi:10.1021/ac60214a047>). This package implements one dimensional Savitzky-Golay filters that can be applied to vectors and matrices (either row-wise or column-wise). Vectorization and memory allocations have been profiled to reduce computational fingerprint. Short filter lengths are implemented in the direct space, while longer filters are implemented in frequency space, using a Fast Fourier Transform (FFT).

Authors:Sergio Oller Moreno [aut, cre], Robert Gentleman [ctb, cph], Ross Ihaka [ctb, cph], Brian Ripley [ctb, cph], Martin Maechler [ctb, cph], Duncan Murdoch [ctb, cph], Institute for Bioengineering of Catalonia [cph]

sgolay_1.0.3.tar.gz
sgolay_1.0.3.tar.gz(r-4.5-noble)sgolay_1.0.3.tar.gz(r-4.4-noble)
sgolay_1.0.3.tgz(r-4.4-emscripten)sgolay_1.0.3.tgz(r-4.3-emscripten)
sgolay.pdf |sgolay.html
sgolay/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/zeehio/sgolay/issues

Uses libs:
  • openblas– Optimized BLAS

1.70 score 2 scripts 213 downloads 2 exports 2 dependencies

Last updated 2 years agofrom:efa3949162. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024

Exports:sgolaysgolayfilt

Dependencies:MASSsignal