Online identification of non-minimum phase finite impulse response linear systems with discrete inputs via hidden Markov models

Considers adaptive estimation of noisy finite impulse response linear systems driven by stationary inputs from a discrete set. An algorithm based on an equivalent hidden Markov model representation is presented. The algorithm presented is globally convergent while previous approaches have only been locally convergent.