A Recurrent Fuzzy Filter for Adaptive Noise Cancellation

  • Authors:

  • Paris Mastorocostas;Dimitris Varsamis;Constantinos Mastorocostas;Constantinos Hilas

  • Affiliations:

  • Technological Educational Institute of Serres, Serres, GREECE;Technological Educational Institute of Serres, Serres, GREECE;Technological Educational Institute of Serres, Serres, GREECE;Technological Educational Institute of Serres, Serres, GREECE

  • Venue:
  • CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-1 (CIMCA-IAWTIC'06) - Volume 01
  • Year:
  • 2005

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Abstract

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.