• Opto-Electronic Engineering
  • Vol. 43, Issue 11, 46 (2016)
HE Xing1、2、3, LUAN Yinsen1、2、3, DONG Lizhi1、2, YANG Ping1、2, XU Bing1、2, and TANG Guomao1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2016.11.008 Cite this Article
    HE Xing, LUAN Yinsen, DONG Lizhi, YANG Ping, XU Bing, TANG Guomao. Signal Smoothing for Accurate Extraction of Low Signal-to-noise Ratio Cavity Ring-down Signal[J]. Opto-Electronic Engineering, 2016, 43(11): 46 Copy Citation Text show less

    Abstract

    In cavity ring-down technique, a signal smoothing method based on spatial filters which have been used in digital image processing is presented for accurate cavity decay time extraction of low signal-to-noise ratio decay signal. Its smoothing procedure was derived and its smoothing efficiency was compared with other smoothing methods. Derivation showed the mean value spatial filter had the highest smoothing efficiency. The application of decay signal smoothing was also analyzed. The combination of the mean value spatial filter with the weighted least square methods was recommended when processing low signal-to-noise ratio decay signals. This method was tested in experiment and achieved almost the same results with the Levenberg-Marquardt algorithm.
    HE Xing, LUAN Yinsen, DONG Lizhi, YANG Ping, XU Bing, TANG Guomao. Signal Smoothing for Accurate Extraction of Low Signal-to-noise Ratio Cavity Ring-down Signal[J]. Opto-Electronic Engineering, 2016, 43(11): 46
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