Paper
30 September 2013 Evaluation and optimization of the Savitzky-Golay smoothing filter for noise reduction in thin film interference signal analysis
Petros I. Stavroulakis, Panos Liatsis, Nicholas Tipping, Paul Craddock
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Abstract
In this work, we present a comparison between Savitzky-Golay filtering and the traditional treatment of subtracting a dark signal to reduce noise from thin film interference spectra, acquired by a spectrometer in an adaptive system, where integration time needs to be varied for each measurement. We show that both classical Savitzky-Golay and dark signal removal are not optimal for interference spectra, however by applying a gradual variation of the Savitzky-Golay bin parameters across the signal, an adaptive version of the Savitsky-Golay technique can be used as a general-purpose noise reduction method for signals collected by an adaptive thin film thickness measurement system.
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Petros I. Stavroulakis, Panos Liatsis, Nicholas Tipping, and Paul Craddock "Evaluation and optimization of the Savitzky-Golay smoothing filter for noise reduction in thin film interference signal analysis", Proc. SPIE 8842, Novel Optical Systems Design and Optimization XVI, 88420H (30 September 2013); https://doi.org/10.1117/12.2024031
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KEYWORDS
Signal to noise ratio

Interference (communication)

Electronic filtering

Optical filters

Digital filtering

Spectroscopy

Thin films

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