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- W2323172430 abstract "One of the most important aims of seismic data processing is to increase signal-to-noise ratio (SNR) via suppression of coherent and random noises. We introduce a Redundant Lifting-based Adaptive Wiener Filter with Thresholding for suppression of both coherent and incoherent noises of field records. The purposed method at the first step applies a one dimensional wavelet transform using Redundant Lifting Scheme (RLS) in a trace by trace manner. After eliminating of appropriate sub-bands, performs a two-dimensional Adaptive Wiener Filter (AWF) on thresholded sub-band gathers. The filtered records are obtained by inverse transforming of data into the time-space domain. We tested the performance of the purposed method on real seismic data." @default.
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- W2323172430 date "2012-01-13" @default.
- W2323172430 modified "2023-09-23" @default.
- W2323172430 title "Seismic denoising using adaptive wiener filter in redundant-lifting wavelet domain" @default.
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- W2323172430 doi "https://doi.org/10.1190/ist092012-001.37" @default.
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