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Blind estimation of long impulse response and non-minimum phase wavelets application to seismic data

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dc.contributor.author Benayad Nsiri
dc.contributor.author Thierry Chonavel
dc.contributor.author Jean-Marc Boucher
dc.date.accessioned 2019-06-11T10:51:38Z
dc.date.available 2019-06-11T10:51:38Z
dc.date.issued 2003-04-06
dc.identifier.uri http://e-biblio.univ-mosta.dz/handle/123456789/10810
dc.description.abstract In seismic deconvolution, blind approches must be considered in situations where the reflectivity sequence, the source wavelet signal and the noise power level are unknown. In the presence of long, non minimum-phase, source wavelets, strong interference of the reflectors contributions make the wavelet estimation and deconvolution procedure from recorded data complicated. In this paper, we address this problem in a two steps approach. First, a robust but truncated estimate of the wavelet is performed using a standard maximum likelihood approach. Then improved wavelet estimation is achieved by fitting an ARMA model to the initial MA wavelet by using the Prony algorithm. The algorithmic problem of wavelet initialization is also addressed. Simulation results and real data experiments show the significant improvement brought by this approach. en_US
dc.publisher 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings.(ICASSP'03). en_US
dc.title Blind estimation of long impulse response and non-minimum phase wavelets application to seismic data en_US
dc.type Article en_US


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