Method of Noise Cancellation Based on Adaptive Fuzzy Neural Networks Algorithm for Multi-Sensory Signals

Author

Yu, Jiang ; Dong, Guang-hui ; Jun, Cao

Author_Institution

Inf. & Commun. Eng. Coll., Harbin Eng. Univ.

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2969

Lastpage

2972

Abstract

Adaptive fuzzy neural network systems (AFNNS) are employed for adaptive noise cancellation using multi-sensory signal recording of the same noise source. The method based on AFNNS not only achieves the optimal reconstruction but also possesses a desired robust against the effect of uncertainties and incomplete information in signal processing. Simulation result shows that the design method can not only obtain simplicity of implementation but also achieve better reconstruction performance than the method based on the averaging method

Keywords

adaptive filters; fuzzy neural nets; interference suppression; signal denoising; signal reconstruction; adaptive filter; adaptive fuzzy neural network system; averaging method; information fusion; multisensory signal; noise cancellation; signal processing; signal reconstruction; Adaptive filters; Adaptive systems; Arithmetic; Cybernetics; Finite impulse response filter; Fuzzy neural networks; IIR filters; Machine learning; Noise cancellation; Noise measurement; Signal design; Signal processing algorithms; Fuzzy neural network; adaptive filter; information fusion; noise cancellation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.259148

Filename

4028571