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).

Getting started

Package details

AuthorSergio Oller Moreno [aut, cre] (<https://orcid.org/0000-0002-8994-1549>), Robert Gentleman [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Ross Ihaka [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Brian Ripley [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Martin Maechler [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Duncan Murdoch [ctb, cph] (Contributor to src/stats_filter.c and src/fft.c (derived from the stats R package)), Institute for Bioengineering of Catalonia [cph]
MaintainerSergio Oller Moreno <sergioller@gmail.com>
LicenseGPL (>= 2)
Version1.0.3
URL https://github.com/zeehio/sgolay
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sgolay")

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sgolay documentation built on April 6, 2023, 1:06 a.m.