Phase-unwrapping algorithm combined with wavelet transform and Hilbert transform in self-mixing interference for individual microscale particle detection

Phase-unwrapping algorithm combined with wavelet transform and Hilbert transform in self-mixing interference for individual microscale particle detection

The self-mixing interferometry (SMI) technique is an emerging sensing technology in microscale particle classification. However, due to the nature of the SMI effect raised by a microscattering particle, the signal analysis suffers from many problems compared with a macro target, such as lower signal...

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Bibliographic Details
Main Authors: Chen, T. (Author), Li, J. (Author), Zhang, M. (Author), Zhao, Y. (Author), Zou, J. (Author)
Format: Article
Language:English
Published: Optica Publishing Group (formerly OSA) 2023
Subjects:
Bioinformatics
continuous wavelet transform
Continuous Wavelet Transform
Hilbert transform
Interferometry
Laser process
laser processing
Micro-scale particles
Mixing
particle detection
Particle size
Particle size analysis
Particle sizing
Particles detection
Phase unwrapping algorithm
Phase variation
Self mixing interferometry
self-mixing interferometry
Signal to noise ratio
Wavelet transforms
Wavelets transform
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