New Error Probability Upper Bound on Maximum Likelihood Sequence Estimation for Intersymbol Interference Channels

Hiroshi NOGAMI, Gordon L. STÜBER

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Summary :

A new upper hound on the error probability for maximum likelihood sequence estimation of digital signaling on intersymbol interference channels with additive white Gaussian noise is presented. The basic idea is to exclude all parallel error sequences and to exclude some of the overlapping error events from the union bound. It is shown that the new upper bound can be easily and efficiently computed by using a properly labeled error-state diagram and a one-directional stack algorithm. Several examples are presented that compare the new upper bound with bounds previously reported in the literature.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.6 pp.742-752
Publication Date
1995/06/25
Publicized
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DOI
Type of Manuscript
PAPER
Category
Information Theory and Coding Theory

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