On the memory complexity of the forward-backward algorithm
Pattern Recognition Letters
Information Sciences: an International Journal
Application of ARMA models to automatic channel equalization
Information Sciences: an International Journal
A survey of techniques for incremental learning of HMM parameters
Information Sciences: an International Journal
Pattern Recognition Letters
Increasing mapping based hidden Markov model for dynamic process monitoring and diagnosis
Expert Systems with Applications: An International Journal
| Hi-index | 754.84 |
This paper is concerned withm-ary communication channels(m geq 2)having intersymbol interference betweenLtime periods(L geq 2). Receiver structures are developed for making jointly optimum (minimum probability of error) decisions aboutLconsecutive symbols on the basis of the complete message received. The decision statistics are computed by a sequential procedure, and the number of computations increases only linearly with the message length. The method can be applied to the general problem of making decisions about the states of a discrete-state Markov information source which is observable only through a channel with additive Gaussian or non-Gaussian noise.