Estimation of probabilistic noise models based on filtration of sample noise sequences
Igor Vajda · Czech digital mathematics library · 1983
IGOR VAJDA Optimum as well as suboptimum estimation of standard multistate noise models of information theory is introduced.The suboptimum estimation is based on a suitably filtered noise sequence only.It is also shown that a formula for probability of errorless transmission which has formerly been derived within the framework of a two-state model remains to be applicable independently on the number of states considered.