2016
Bocharova, Irina E; i Fàbregas, Albert Guillén; Kudryashov, Boris D; Martinez, Alfonso; Campo, Adria Tauste; Vazquez-Vilar, Gonzalo
Multi-Class Source-Channel Coding Artículo de revista
En: IEEE Transactions on Information Theory, vol. 62, no 9, pp. 5093 – 5104, 2016.
Resumen | Enlaces | BibTeX | Etiquetas: Channel Coding, Complexity theory, error probability, Indexes, Journal, Maximum likelihood decoding
@article{Bocharova2016,
title = {Multi-Class Source-Channel Coding},
author = {Irina E Bocharova and Albert Guill\'{e}n i F\`{a}bregas and Boris D Kudryashov and Alfonso Martinez and Adria Tauste Campo and Gonzalo Vazquez-Vilar},
url = {http://arxiv.org/abs/1410.8714},
year = {2016},
date = {2016-09-01},
journal = {IEEE Transactions on Information Theory},
volume = {62},
number = {9},
pages = {5093 -- 5104},
abstract = {This paper studies an almost-lossless source-channel coding scheme in which source messages are assigned to different classes and encoded with a channel code that depends on the class index. The code performance is analyzed by means of random-coding error exponents and validated by simulation of a low-complexity implementation using existing source and channel codes. While each class code can be seen as a concatenation of a source code and a channel code, the overall performance improves on that of separate source-channel coding and approaches that of joint source-channel coding when the number of classes increases.},
keywords = {Channel Coding, Complexity theory, error probability, Indexes, Journal, Maximum likelihood decoding},
pubstate = {published},
tppubtype = {article}
}
This paper studies an almost-lossless source-channel coding scheme in which source messages are assigned to different classes and encoded with a channel code that depends on the class index. The code performance is analyzed by means of random-coding error exponents and validated by simulation of a low-complexity implementation using existing source and channel codes. While each class code can be seen as a concatenation of a source code and a channel code, the overall performance improves on that of separate source-channel coding and approaches that of joint source-channel coding when the number of classes increases.