Petroleum Science >2012,??Issue 3:??310-316 DOI: https://doi.org/10.1007/s12182-012-0214-9
An application of matching pursuit timefrequency decomposition method using multiwavelet dictionaries Open?Access
文章信息
作者：Zhao Tianzi and Song Wei
作者單位：
Library of China University of Petroleum, Beijing 102249, China;CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum, Beijing 102249, China
投稿時(shí)間：2011-03-24
引用方式：Zhao, T. & Song, W. Pet. Sci. (2012) 9: 310. https://doi.org/10.1007/s12182-012-0214-9
文章摘要
In the time-frequency analysis of seismic signals, the matching pursuit algorithm is an effective tool for non-stationary signals, and has high time-frequency resolution and a transient structure with local self-adaption. We expand the time-frequency dictionary library with Ricker, Morlet, and mixed phase seismic wavelets, to make the method more suitable for seismic signal time-frequency decomposition. In this paper, we demonstrated the algorithm theory using synthetic seismic data, and tested the method using synthetic data with 25% noise. We compared the matching pursuit results of the time-frequency dictionaries. The results indicated that the dictionary which matched the signal characteristics better would obtain better results, and can reflect the information of seismic data effectively.
關(guān)鍵詞
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Matching pursuit, seismic attenuation, wavelet transform, Wigner Ville distribution, timefrequency dictionary