A Recurrent Fuzzy Filter for Adaptive Noise Cancellation

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This paper presents a recurrent fuzzy-neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by use of the Dynamic Neuron-based Fuzzy Neural Network. Extensive simulation results are given and performance comparison with a series of other dynamic fuzzy and neural models is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals.

Paris A. Mastorocostas, Dimitris N. Varsamis, Cons

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Adaptive Noise Cancellation | CIMCA 2005 | Fuzzy Neural Network | Recurrent Fuzzy-neural Filter |

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Added	24 Jun 2010
Updated	24 Jun 2010
Type	Conference
Year	2005
Where	CIMCA
Authors	Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas

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A Recurrent Fuzzy Filter for Adaptive Noise Cancellation

Adaptive Noise Cancellation | CIMCA 2005 | Fuzzy Neural Network | Recurrent Fuzzy-neural Filter |

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