Abstract

An improved Savitzky-Golay filtering algorithm was adopted to denoise the online measurement of a pharmaceutical vial’s oxygen content based on wavelength modulation spectroscopy. This algorithm was created to feed second harmonic signals containing noise into a sliding window and to reduce, or eliminate, pulse interference. Then, the data containing no singular values were processed by a weighted moving average filter. The second harmonic signals were simulated and experiments were performed to measure a pharmaceutical vial’s oxygen concentration by using the improved Savitzky-Golay filtering algorithm: results were compared with those from a traditional algorithm and a wavelet transform filter. The results indicated that the improved Savitzky-Golay filtering algorithm can match the efficacy of the wavelet analysis, but the former ran much faster than the latter, and the system response time was about 300 ms. The improved Savitzky-Golay filtering algorithm was suitable for online measurement of the gas concentration.

© 2017 Optical Society of America

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