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• W4319338250 abstract "While the single-channel matching pursuit decomposes a seismic trace into a series of wavelets, the multichannel matching pursuit examines the lateral coherence of the seismic traces as a constraint to improve the lateral continuity of the decomposition. However, the presence of structures in the subsurface negatively affects the performance of the multichannel matching pursuit. We proposed a structure-adapted matching pursuit method that combines with a dynamic time-warping (DTW) algorithm to estimate the similarity between adjacent seismic traces and extract an optimal wavelet along the dip plane. This structure-adapted implementation would significantly speed up the convergence of the decomposition process. We modified the DTW algorithm by combining the Euclidean distance of the seismic trace and the first-order temporal derivative of the seismic trace. We also updated the amplitudes of all extracted wavelets simultaneously based on the least-squares principle. This DTW-based, structure-adapted, least-squares, multichannel matching pursuit method would improve the robustness and accuracy of seismic trace decomposition." @default.
• W4319338250 created "2023-02-08" @default.
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• W4319338250 date "2023-02-07" @default.
• W4319338250 modified "2023-10-16" @default.
• W4319338250 title "Structure-adapted Multichannel Matching Pursuit for Seismic Trace Decomposition" @default.
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• W4319338250 doi "https://doi.org/10.1007/s00024-023-03234-w" @default.
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