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On the probability of error for decision-feedback equalizers (Corresp.)

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1 Author(s)

Methods for calculating or bounding the probability of error in a decision-feedback equalizer when the noise component at the input of the quantizer is a sequence of independent and identically distributed random variables are briefly reviewed. A new upper bound on the probability of error of a decision-feedback equalizer is then derived. Unlike the methods reviewed, this bound is valid even when the noise component at the input of the quantizer is a serially dependent stationary stochastic process.

Published in:

Information Theory, IEEE Transactions on  (Volume:33 ,  Issue: 5 )

Date of Publication:

Sep 1987

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