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

Authors :
Sun, Yuan
Yu, Yanguang
Xi, Jiangtao
Sun, Yuan
Yu, Yanguang
Xi, Jiangtao
Source :
Faculty of Engineering and Information Sciences - Papers: Part A
Publication Year :
2012

Abstract

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

Details

Database :
OAIster
Journal :
Faculty of Engineering and Information Sciences - Papers: Part A
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1298561340
Document Type :
Electronic Resource