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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).

Versions across snapshots

VersionRepositoryFileSize
1.0.3 rolling linux/jammy R-4.5 sgolay_1.0.3.tar.gz 35.7 KiB
1.0.3 rolling linux/noble R-4.5 sgolay_1.0.3.tar.gz 35.9 KiB
1.0.3 rolling source/ R- sgolay_1.0.3.tar.gz 25.0 KiB
1.0.3 latest linux/jammy R-4.5 sgolay_1.0.3.tar.gz 35.7 KiB
1.0.3 latest linux/noble R-4.5 sgolay_1.0.3.tar.gz 35.9 KiB
1.0.3 latest source/ R- sgolay_1.0.3.tar.gz 25.0 KiB
1.0.3 2026-04-26 source/ R- sgolay_1.0.3.tar.gz 25.0 KiB
1.0.3 2026-04-23 source/ R- sgolay_1.0.3.tar.gz 25.0 KiB
1.0.3 2026-04-09 windows/windows R-4.5 sgolay_1.0.3.zip 42.5 KiB
1.0.3 2025-04-20 source/ R- sgolay_1.0.3.tar.gz 25.0 KiB

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