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Maximum a posteriori estimation of multichannel Bernoulli-Gaussian sequences

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2 Author(s)
G. -Z. Dai ; Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA ; J. M. Mendel

General problems and solutions are described for maximum a posteriori estimation of multichannel Bernoulli-Gaussian sequences, which are inputs to a linear discrete-time multivariable system. The authors first develop a separation principle, which indicates that one can estimate multichannel Gaussian amplitudes and Bernoulli events separately. They then discuss approaches for estimation of these quantities

Published in:

IEEE Transactions on Information Theory  (Volume:35 ,  Issue: 1 )