Multi-Input Single-Output Nonlinear Adaptive Digital Filters Using Recurrent Neural Networks
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概要
- 論文の詳細を見る
Linear adaptive digital filters are applied to various fields for their simplicity in the design and implementation. Considering many kinds of nonlinearities inherent in practical systems, however, nonlinear adaptive filtering will be more desirable. This paper presents a design method for multi-input single-output nonlinear adaptive digital filters using recurrent neural networks. Furthermore, in comparison with this method and the method based on the conventional linear theory, if the proposed method is used, better results can be obtained, and, it is possible that the learning efficiency is improved, because the parallel learning is carried out in this method. Finally, the results of computer simulation are presented to illustrate the effectiveness of the proposed method.
- 社団法人電子情報通信学会の論文
- 2001-08-01
著者
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YAHAGI Takashi
Graduate School of Science and Technology, Chiba University
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Yahagi T
Graduate School Of Science And Technology Chiba University
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Lin H
Mobile Terminals Core Technology Development Division Nec Corporation
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Wang Xiaoqiu
Graduate School Of Science And Technology Chiba University
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LIN Hua
The authors are with the Graduate School of Science and Technology, Chiba University
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WANG Xiaoqiu
The authors are with the Graduate School of Science and Technology, Chiba University
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LU Jianming
The authors are with the Graduate School of Science and Technology, Chiba University
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YAHAGI Takashi
The authors are with the Graduate School of Science and Technology, Chiba University
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Yahagi Takashi
The Authors Are With The Graduate School Of Science And Technology Chiba University
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