Neural network communication equalizer with optimized solution capability

David C. Chen; Bing J. Sheu; Eric Y. Chou

Neural network communication equalizer with optimized solution capability

David C. Chen^*
, Bing J. Sheu
, Eric Y. Chou

^*此作品的通信作者

University of Southern California

研究成果: 會議稿件的類型 › 論文 › 同行評審

1 引文斯高帕斯（Scopus）

摘要

Artificial neural network approaches in communication have been motivated by the adaptive learning capability and the collective computational properties to process real world signals. In this paper, an one-dimensional Compact Neural Network receiver as a paralleled computational framework of the maximum likelihood sequence estimation (MLSE) is presented. Optimum solution can be obtained by applying the hardware annealing which is a deterministic method for searching a globally minimum energy state in a short period of time.

原文	英語
頁面	1957-1962
頁數	6
出版狀態	已出版 - 1996
對外發佈	是
事件	Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) - Washington, DC, USA 持續時間: 03 06 1996 → 06 06 1996

Conference

Conference	Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)
城市	Washington, DC, USA
期間	03/06/96 → 06/06/96

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Link to publication in Scopus

引用此

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title = "Neural network communication equalizer with optimized solution capability",

abstract = "Artificial neural network approaches in communication have been motivated by the adaptive learning capability and the collective computational properties to process real world signals. In this paper, an one-dimensional Compact Neural Network receiver as a paralleled computational framework of the maximum likelihood sequence estimation (MLSE) is presented. Optimum solution can be obtained by applying the hardware annealing which is a deterministic method for searching a globally minimum energy state in a short period of time.",

author = "Chen, \{David C.\} and Sheu, \{Bing J.\} and Chou, \{Eric Y.\}",

year = "1996",

language = "英语",

pages = "1957--1962",

note = "Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4) ; Conference date: 03-06-1996 Through 06-06-1996",

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TY - CONF

T1 - Neural network communication equalizer with optimized solution capability

AU - Chen, David C.

AU - Sheu, Bing J.

AU - Chou, Eric Y.

PY - 1996

Y1 - 1996

N2 - Artificial neural network approaches in communication have been motivated by the adaptive learning capability and the collective computational properties to process real world signals. In this paper, an one-dimensional Compact Neural Network receiver as a paralleled computational framework of the maximum likelihood sequence estimation (MLSE) is presented. Optimum solution can be obtained by applying the hardware annealing which is a deterministic method for searching a globally minimum energy state in a short period of time.

AB - Artificial neural network approaches in communication have been motivated by the adaptive learning capability and the collective computational properties to process real world signals. In this paper, an one-dimensional Compact Neural Network receiver as a paralleled computational framework of the maximum likelihood sequence estimation (MLSE) is presented. Optimum solution can be obtained by applying the hardware annealing which is a deterministic method for searching a globally minimum energy state in a short period of time.

UR - https://www.scopus.com/pages/publications/0029748010

M3 - 论文

AN - SCOPUS:0029748010

SP - 1957

EP - 1962

T2 - Proceedings of the 1996 IEEE International Conference on Neural Networks, ICNN. Part 1 (of 4)

Y2 - 3 June 1996 through 6 June 1996

ER -

Neural network communication equalizer with optimized solution capability

摘要

Conference

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指紋

引用此