Convergence analysis of a deficient-length LMS filter and optimal-length sequence to model exponential decay impulse response

Gu, Yuantao; Tang, Kun; Cui, Hongyu; Du, Wei

doi:10.1109/lsp.2002.806704

Cited by 61 publications

(1 citation statement)

References 7 publications

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“…The research mainly focuses on improvement on algorithm of filter [3][4][5], the research direction is the improvement on velocity and accuracy of algonthm. In this paper, fuzzy neural network technology [6] is introduced to adaptive Wiener Filter, there is further study on its structure and algorithm, The adaptive Wiener Filter based on fuzzy neural network has been realized to improve the intelligent level of adaptive filter and widen its application scope.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Research of the Adaptive Wiener Filter Based on Fuzzy Neural Networks

Zhao

Liu

2013

AMM

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This paper introduces fuzzy neural network technology into the adaptive filter and makes further research on its structure and algorithms. At first, fuzzy rules are determined and the network structure is built by means of dividing fuzzy subspaces. Secondly, membership functions are chosen layers are defined and the network is trained by adaptive learning algorithm. Thirdly, training error is the minimum with repeating debugging. Finally, linking weight, the central value and width of the network membership function is adjusted by using experience of experts. The optimal performance of Adaptive Wiener Filter is realized based on Fuzzy Neural Networks.

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Section: Introductionmentioning

confidence: 99%