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Starting from some general results about Hidden Markov Models (HMMs) recently appeared in literature (Baccarelli and Cusani, 1996; Elliott et al., 1995), low-complexity decision-delay constrained symbol-by-symbol maximum-likelihood detectors for data-transmission over noisy time-dispersive time-variant waveform channels with quantised demodulation are presented. The resulting equalisers are recursive...
Efficient algorithms for computing the a posteriori probabilities (APPs) of discrete-index finite-state hidden Markov sequences are proposed. They are obtained by reducing the APPs computation to the optimal nonlinear minimum mean square error (MMSE) estimation of the noisily observed sequences of the indicator functions associated with the chain states. Following an innovations approach, finite-dimensional...
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