Abstract:
We consider error probability analysis for a class of ISI channels with data-dependent Gauss-Markov noise and propose an efficiently computable BER upper bound that is ti...Show MoreMetadata
Abstract:
We consider error probability analysis for a class of ISI channels with data-dependent Gauss-Markov noise and propose an efficiently computable BER upper bound that is tight in the high SNR regime.
Published in: IEEE Transactions on Signal Processing ( Volume: 61, Issue: 14, July 2013)