Decoding a Kind of Linear Block Codes Using Neural Network

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 1998, Vol. 21 ›› Issue (2): 46-50.

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Decoding a Kind of Linear Block Codes Using Neural Network

Ma Xiaomin¹, Yang Yixian¹, Zhang Zhaozhi²

¹Department of Information Engineering, Beijing University of Posts and Telecommunications, Beijing 100876;²Institute of System Science, Academic Simica, Beijing 100080)

Received:1997-06-09 Online:1998-03-10
Supported by:

Abstract

Abstract: After characteristics and decomposition of complementary codes are discussed, A decomposition decoding strategy for complementary codes based on neural network is presented. The attractors of neural network are introduced to implement error correction decoding. The complementary codes are decomposed into a subcode and several cosets of the subcode, which can further decrease complexityof decoding using neural networks, carrying out high efficiency decoding in realtime. The paper demonstrates the principle and the procedure of the decoding structure, and analysis the performance of the decoding.

Key words: channel decoding, error correcting coding, block codes, neural networks

CLC Number:

TN919.32

Ma Xiaomin, Yang Yixian, Zhang Zhaozhi. Decoding a Kind of Linear Block Codes Using Neural Network[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 1998, 21(2): 46-50.

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Decoding a Kind of Linear Block Codes Using Neural Network

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