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Savitzky-Golay Smoothing Filters
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Organization: | Max-Planck-Institut für Medizinische Forschung |
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0206-930
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2000-01-21
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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.
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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 | | SavitzkyGolay.m (3.6 KB) - Mathematica package | Files specific to Mathematica 2.2 version:
| | SGManual.ma (54.1 KB) - Example notebook for SavitzkyGolay.m |
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