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Wavelet transform based de-noising method for self mixing interferometry signals

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conference contribution
posted on 2024-11-15, 13:26 authored by Yuan Sun, Yanguang YuYanguang Yu, Jiangtao XiJiangtao Xi
Self-mixing interferometry (SMI) signals are observed from a laser diode (LD) with optical feedbacks induced by an external target. SMI signals carry information related to both of the target and parameters of the LDs. However, the noise contained in SMI signals greatly degrades the applications of the SMI systems. This paper proposes a wavelet transform based de-noising method which can effectively eliminate noise while keeping an SMI waveform less changed. The proposed method is verified by both simulations and experiments

History

Citation

Y. Sun, Y. Yu & J. Xi, "Wavelet transform based de-noising method for self mixing interferometry signals," in 3rd Asia Pacific Optical Sensors Conference, 2012, pp. 83510G-1-83510G-7.

Parent title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

8351

Language

English

RIS ID

52774

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