A Recurrent Fuzzy Filter for Adaptive Noise Cancellation

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.

• Type: Conference
• Year: 2005
• Where: CIMCA
• Authors: Paris A. Mastorocostas, Dimitris N. Varsamis, Constantinos A. Mastorocostas, Constantinos S. Hilas
• Keywords: Adaptive Noise Cancellation, CIMCA 2005, Fuzzy Neural Network, Recurrent Fuzzy-neural Filter