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Deconvolution of seismic data using adaptive Gaussian mixtures

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4 Author(s)
Santamaria, I. ; Cantabria Univ., Santander, Spain ; Pantaleon, C.J. ; Ibanez, J. ; Artes, A.

Based on a Gaussian mixture model for the reflectivity sequence, the authors present a new technique for blind deconvolution of seismic data. The method obtains a deconvolution filter that maximizes at its output a measure of the relative entropy between the proposed Gaussian mixture and a pure Gaussian distribution. A new updating procedure for the mixture parameters is included in the algorithm: it allows one to apply the algorithm without any prior knowledge about the signal and noise. A simulation example illustrates the performance of the proposed method

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Geoscience and Remote Sensing, IEEE Transactions on  (Volume:37 ,  Issue: 2 )