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15 August 2023 A noise reduction method based on PSR-fastICA for spectrum-induced polarization data
Wei Cen, Zhihua Li
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Proceedings Volume 12719, Second International Conference on Electronic Information Technology (EIT 2023); 1271909 (2023) https://doi.org/10.1117/12.2685458
Event: Second International Conference on Electronic Information Technology (EIT 2023), 2023, Wuhan, China
Abstract
Spectrum-induced polarization (SIP) is a widely used geophysical exploration approach, but it is prone to noise. To address this issue, this paper proposes a noise reduction method that combines phase space reconstruction (PSR) and fast independent component analysis (fastICA). The proposed approach enhances the signal-to-noise ratio of SIP data by effectively removing noise. Experimental results show that the PSR-fastICA method significantly reduces noise in SIP signals.
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Wei Cen and Zhihua Li "A noise reduction method based on PSR-fastICA for spectrum-induced polarization data", Proc. SPIE 12719, Second International Conference on Electronic Information Technology (EIT 2023), 1271909 (15 August 2023); https://doi.org/10.1117/12.2685458
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KEYWORDS
Denoising
Independent component analysis
Polarization
Signal to noise ratio
Interference (communication)
Phase reconstruction
Signal processing
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