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A robust vector multichannel singular spectrum analysis (MSSA) algorithm for denoising seismic data is introduced, and the initial results of applying this algorithm to denoise synthetic and real seismic data… Click to show full abstract
A robust vector multichannel singular spectrum analysis (MSSA) algorithm for denoising seismic data is introduced, and the initial results of applying this algorithm to denoise synthetic and real seismic data records are presented. In particular, the MSSA algorithm, originally applied to denoise scalar seismic wavefields, is generalized to denoise vector seismic wave fields. We also introduce a robust rank reduction algorithm within the MSSA denoising algorithm which attenuates erratic signals in the input wavefield without distorting the output.
Journal Title: IEEE Transactions on Geoscience and Remote Sensing
Year Published: 2022
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