Jianwei Ma, 哈尔滨工业大学

Title

Sparse Representation of Seismic Data

Abstract

In this talk, we will present two new methods for sparse representation of geophysical oil/gas exploration data. One is based on double sparse dictionary learning by seislet transform and data-driven tight frame, and another one is based on asymmetric Gaussian chirplet and match pursuit. The data interpolation and denoising will benifit from the sparse transform.


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