Constant-time neural decoders for some BCH codes

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

In this paper, high-order neural networks (HONN) are shown to decode some BCH codes in constant-time with very low hardware complexity.

Original language	English
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the 1994 IEEE International Symposium on Information Theory - Trodheim, Norw Duration: 1994 Jun 27 → 1994 Jul 1

Conference	Proceedings of the 1994 IEEE International Symposium on Information Theory
City	Trodheim, Norw
Period	1994/06/27 → 1994/07/01

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title = "Constant-time neural decoders for some BCH codes",

abstract = "In this paper, high-order neural networks (HONN) are shown to decode some BCH codes in constant-time with very low hardware complexity.",

author = "Tseng, {Yuen Hsien} and Wu, {Ja Ling}",

year = "1994",

language = "English",

note = "Proceedings of the 1994 IEEE International Symposium on Information Theory ; Conference date: 27-06-1994 Through 01-07-1994",

}

TY - CONF

T1 - Constant-time neural decoders for some BCH codes

AU - Tseng, Yuen Hsien

AU - Wu, Ja Ling

PY - 1994

Y1 - 1994

N2 - In this paper, high-order neural networks (HONN) are shown to decode some BCH codes in constant-time with very low hardware complexity.

AB - In this paper, high-order neural networks (HONN) are shown to decode some BCH codes in constant-time with very low hardware complexity.

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M3 - Paper

AN - SCOPUS:0028698287

T2 - Proceedings of the 1994 IEEE International Symposium on Information Theory

Y2 - 27 June 1994 through 1 July 1994

ER -