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Savitzky-Golay Smoothing Filters
Author

Arnd Roth
Organization: Max-Planck-Institut für Medizinische Forschung
Old MathSource #

0206-930
Revision date

2000-01-21
Description

Savitzky Golay Savitzky-Golay FIR lowpass filters can be thought of as a generalized moving average. Their coefficients are chosen such as to preserve higher moments in the data, thus reducing the distortion of essential features of the data like peak heights and line widths in a spectrum, while the efficiency of the suppression of random noise is effectively unchanged.
Subjects

*Engineering > Electrical Engineering
*Engineering > Signal Processing
*Mathematica Technology > Programming > Graphing and Plotting
Keywords

Applied mathematics, data analysis, savitzky, golay, least-squares, digital smoothing polynomial, spectroscopy, electrical engineering, digital signal processing, FIR filters, FIR lowpass filters, digital filters
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SGManual.nb (155 KB) - Example notebook for SavitzkyGolay.m
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SavitzkyGolay.m (3.6 KB) - Mathematica package

Files specific to Mathematica 2.2 version:
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SGManual.ma (54.1 KB) - Example notebook for SavitzkyGolay.m