DocumentCode
453879
Title
A Recurrent Fuzzy Filter for Adaptive Noise Cancellation
Author
Mastorocostas, P. ; Varsamis, D.
Author_Institution
Dpt. of Inf., Technol. Educ. Inst. of Serres
Volume
1
fYear
2005
fDate
28-30 Nov. 2005
Firstpage
408
Lastpage
413
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CIMCA.2005.1631300
Filename
1631300
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