Fast Independent Component Analysis Denoising for Magnetotelluric Data Based on a Correlation Coefficient and Fast Iterative Shrinkage Threshold Algorithm
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DOI: 10.1109/tgrs.2022.3182504
Abstract: Magnetotelluric (MT) sounding data are easily contaminated by various noise sources, especially noise with a long duration (even full-time noise), which makes it difficult to obtain accurate values when calculating the weight factors of response… read more here.
Keywords: noise; fast independent; component analysis; fast iterative ... See more keywords