24 December 2014 Removing the impulsive noise contained in a self-mixing interferometry system using outlier detection
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Abstract
Impulsive noise is a major problem that seriously degrades the performance of self-mixing interferometry (SMI). A new method to rectify this issue is proposed. First, an outlier detection approach is employed to detect the data samples corrupted by the impulsive noise, and then the SMI signal waveform is rectified by means of least square (LS) curve fitting. The results show that the proposed method can effectively remove the impulsive noise without introducing distortion to the original waveform and thus lead to improvement in the performance of an SMI system.
© 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Yan Gao, Yan Gao, Yanguang Yu, Yanguang Yu, Jiangtao Xi, Jiangtao Xi, Qinghua Guo, Qinghua Guo, Jun Tong, Jun Tong, Sheng Tong, Sheng Tong, } "Removing the impulsive noise contained in a self-mixing interferometry system using outlier detection," Optical Engineering 53(12), 124108 (24 December 2014). https://doi.org/10.1117/1.OE.53.12.124108 . Submission:
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