Decoding reed-muller codes by multi-layer perceptrons

Yuen Hsien Tseng; Ja Ling Wu

doi:10.1080/00207219308907134

Decoding reed-muller codes by multi-layer perceptrons

Yuen Hsien Tseng, Ja Ling Wu

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The decoding of rth-order Reed-Muller codes of blocklength 2 ^m capable of correcting up to (1/2)2 ^m−r — 1 errors, by use of multi-layer perceptrons is illustrated The multi-layer perceptrons used have all their weights either + 1 or − 1 and all thresholds integers, thus making them very suitable for hardware implementation.

Original language	English
Pages (from-to)	589-594
Number of pages	6
Journal	International Journal of Electronics
Volume	75
Issue number	4
DOIs	https://doi.org/10.1080/00207219308907134
Publication status	Published - 1993 Oct
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1080/00207219308907134

Cite this

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title = "Decoding reed-muller codes by multi-layer perceptrons",

abstract = "The decoding of rth-order Reed-Muller codes of blocklength 2 m capable of correcting up to (1/2)2 m−r — 1 errors, by use of multi-layer perceptrons is illustrated The multi-layer perceptrons used have all their weights either + 1 or − 1 and all thresholds integers, thus making them very suitable for hardware implementation.",

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

year = "1993",

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N2 - The decoding of rth-order Reed-Muller codes of blocklength 2 m capable of correcting up to (1/2)2 m−r — 1 errors, by use of multi-layer perceptrons is illustrated The multi-layer perceptrons used have all their weights either + 1 or − 1 and all thresholds integers, thus making them very suitable for hardware implementation.

AB - The decoding of rth-order Reed-Muller codes of blocklength 2 m capable of correcting up to (1/2)2 m−r — 1 errors, by use of multi-layer perceptrons is illustrated The multi-layer perceptrons used have all their weights either + 1 or − 1 and all thresholds integers, thus making them very suitable for hardware implementation.

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Decoding reed-muller codes by multi-layer perceptrons

Abstract

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