@inproceedings{e3c08342a49047eb80ab4296b1908f8b,
title = "Universal decoding for Gaussian intersymbol interference channels",
abstract = "A universal decoding procedure is proposed for the intersymbol interference (ISI) Gaussian channels. The universality of the proposed decoder is in the sense of being independent of the various channel parameters, and at the same time, attaining the same random coding error exponent as the optimal maximum-likelihood (ML) decoder, which utilizes full knowledge of these unknown parameters. The proposed decoding rule can be regarded as a frequency domain version of the universal maximum mutual information (MMI) decoder. Contrary to previously suggested universal decoders for ISI channels, our proposed decoding metric can easily be evaluated.",
keywords = "Universal decoding, error exponents, interference intersymbol (ISI), maximum-likelihood (ML), random coding",
author = "Wasim Huleihel and Neri Merhav",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Symposium on Information Theory, ISIT 2015 ; Conference date: 14-06-2015 Through 19-06-2015",
year = "2015",
month = sep,
day = "28",
doi = "10.1109/ISIT.2015.7282991",
language = "English",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "2919--2923",
booktitle = "Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015",
address = "United States",
}