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Cited by 408

The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Channel coding: The road to channel capacity

Open access
Costello, Daniel J., Forney, G. David·2007·Proceedings of the IEEE

Abstract

Starting from Shannon's celebrated 1948 channel coding theorem, we trace the evolution of channel coding from Hamming codes to capacity-approaching codes. We focus on the contributions that have led to the most significant improvements in performance versus complexity for practical applications, particularly on the additive white Gaussian noise channel. We discuss algebraic block codes, and why they did not prove to be the way to get to the Shannon limit. We trace the antecedents of today's capacity-approaching codes: convolutional codes, concatenated codes, and other probabilistic coding schemes. Finally, we sketch some of the practical applications of these codes.

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Metadata

Authors
Costello, D. J., & Forney, G. D.
Venue
Proceedings of the IEEE
Published
2007-06
Volume
95
Issue
6
Pages
1150-1177
ISSN
  • 0018-9219 (ISSN-L)
  • 1558-2256
OpenAlex
W2088719955
Cited by
408
References
77
FWCI
17.23
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Channel coding: The road to channel capacity. https://app.cochat.ai/papers/10.1109/jproc.2007.895188
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Costello, D. J., & Forney, G. D. (2007). Channel coding: The road to channel capacity. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2007.895188

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.