Maximum-likelihood blind deconvolution: non-white Bernoulli-Gaussian case

The authors present a maximum-likelihood deconvolution (MLD) algorithm for estimating nonwhite Bernoulli-Gaussian signals mu (k), which were distorted by a linear time-invariant system upsilon (k) taking into account the measured spectrum of mu (k) such as that obtained from sonic logs. The proposed MLD algorithm can recover both the phase of a minimum-phase coloring filter upsilon /sub 1/(k) and that of upsilon (k) as long as the spectrum of mu (k) is known in advance. The authors also present some simulation results which support the proposed MLD algorithm.<
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