Highly Influential

5 Excerpts

- 1997

The maximum likelihood sequence estimator is the optimal receiver for the inter-symbol interference (ISI) channel with additive white noise. A receiver is demonstrated that estimates sequence likelihood using a variable order Markov model constructed from a crudely quantized training sequence. Receiver performance is relatively unaffected by heavy-tailed noise that can undermine the performance of Gaussian based algorithms such as decision feedback equalization with gradient based (LMS) adaptation. We consider the problem of decoding binary symbols across a linear ISI channel contaminated with additive white noise. Given discrete-time observations of the channel output r n