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• W2094896467 abstract "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." @default.
• W2094896467 created "2016-06-24" @default.
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• W2094896467 date "2012-08-17" @default.
• W2094896467 modified "2023-10-16" @default.
• W2094896467 title "An application of matching pursuit time-frequency decomposition method using multi-wavelet dictionaries" @default.
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• W2094896467 doi "https://doi.org/10.1007/s12182-012-0214-9" @default.
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