Design method for parallel nonlinear adaptive digital digital filters using neural networks

被引：0

作者：

Yahagi, Takashi ^{[1
]}

Cao, Jianting ^{[1
]}

Lu, Jianming ^{[1
]}

机构：

[1] Chiba Univ, Chiba, Japan

来源：

Electronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi) | 1996年 / 79卷 / 01期

关键词：

Adaptive filtering - Calculations - Control nonlinearities - Neural networks - Nonlinear systems - Parallel processing systems - Parameter estimation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Linear adaptive digital filters are applied to various fields for their simplicity in the design and implementation. Considering many kinds of nonlinearities inherent to practical systems, however, nonlinear adaptive filtering will be more desirable. In this paper, we present a design method for parallel nonlinear adaptive digital filters using multilayer nonrecursive neural networks. Linear adaptive digital filters can be replaced by nonlinear adaptive digital filters with the advantage of obtaining better accuracy of estimation. Furthermore, the nonlinear adaptive digital filter is extended to parallel nonlinear adaptive digital filters which reduce the computations of each filtering system, especially when a high-order nonlinear adaptive digital filter is necessary.

引用

页码：22 / 32

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