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An improved Savitzky-Golay filtering algorithm for measuring pharmaceutical vial's oxygen content based on wavelength modulation spectroscopy

机译:一种改进的SAVITZKY-GOLAY滤波算法,用于基于波长调制光谱测量药物小瓶氧含量的改进

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摘要

An improved Savitzky-Golay filtering algorithm was adopted to denoise the on-line 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 weighted moving average filter. The second harmonic signals were simulated and the experiments 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 on-line measurement of gas concentration.
机译:采用一种改进的Savitzky-Golay滤波算法来基于波长调制光谱来衡量药物小瓶的氧含量的在线测量。创建该算法以将包含噪声的第二谐波信号馈送到滑动窗口中并减少或消除脉冲干扰。然后,通过加权移动平均滤波器处理不包含奇异值的数据。模拟了第二次谐波信号,并通过使用改进的Savitzky-Golay滤波算法测量药物小瓶的氧浓度的实验:将结果与来自传统算法的结果进行比较,以及小波变换过滤器。结果表明,改进的Savitzky-Golay滤波算法可以匹配小波分析的功效,但前者比后者更快地跑得更快,系统响应时间约为300毫秒。改进的Savitzky-Golay过滤算法适用于气体浓度的在线测量。

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