Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62686
Title: Reconstructing binary signals by rule-based fuzzy equalizer with self-organizing capability
Authors: Nie, J.
Lee, T.H. 
Issue Date: 1997
Source: Nie, J.,Lee, T.H. (1997). Reconstructing binary signals by rule-based fuzzy equalizer with self-organizing capability. Journal of Intelligent and Fuzzy Systems 5 (4) : 313-322. ScholarBank@NUS Repository.
Abstract: This paper presents a rule-based approach to the problem known as channel equalization which is concerned with reconstructing binary signals being transmitted through a dispersive communication channel and then corrupted by additive noise. With the aid of fuzzy concepts and fuzzy operators, we try to cope with the problem by a rule-based equalizer. A self-organizing algorithm consisting of learning, pruning, and refining processes is developed aiming at building the rule-base from labeled observations. The rule-based equalizer makes the decision on the basis of measuring the similarity between the current observation and the obtained rule prototypes. The simulation studies on linear and non-linear channels are used to demonstrate the performance of the proposed approacht. © 1997 IOS PRESS.
Source Title: Journal of Intelligent and Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/62686
ISSN: 10641246
Appears in Collections:Staff Publications

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