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Proceedings Paper

Neural network application to error control coding
Author(s): Mukhtar Hussain; Jing Song; Jatinder S. Bedi
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Paper Abstract

The error control problem in digital communication and information storage is presented as a - signal/pattern classification problem and the promising area of neural networks is exploited in correction of errors introduced in channel. The initial simulation results for a (7 Hamming and a (8 extended Hamming code with this approach show dramatic improvements in the Eb/No required to achieve a given probability of bit error. 1.

Paper Details

Date Published: 1 August 1990
PDF: 8 pages
Proc. SPIE 1294, Applications of Artificial Neural Networks, (1 August 1990); doi: 10.1117/12.21201
Show Author Affiliations
Mukhtar Hussain, Wayne State Univ. (United States)
Jing Song, Wayne State Univ. (United States)
Jatinder S. Bedi, Wayne State Univ. (United States)


Published in SPIE Proceedings Vol. 1294:
Applications of Artificial Neural Networks
Steven K. Rogers, Editor(s)

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