Title :
A Recurrent Fuzzy Filter for Adaptive Noise Cancellation
Author :
Mastorocostas, P. ; Varsamis, D.
Author_Institution :
Dpt. of Inf., Technol. Educ. Inst. of Serres
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
Keywords :
adaptive filters; fuzzy neural nets; recurrent neural nets; signal denoising; adaptive noise cancellation; dynamic neuron-based fuzzy neural network; recurrent fuzzy filter; system-identification problem; Adaptive filters; Estimation; Fuzzy logic; Fuzzy neural networks; Information filtering; Information filters; Interference; Noise cancellation; Signal processing; System identification;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631300
