RECURRENT RADIAL BASIS FUNCTION NETWORKS FOR ADAPTIVE NOISE CANCELLATION

被引:67
作者
BILLINGS, SA
FUNG, CF
机构
[1] Department of Automatic Control, Systems Engineering, University of Sheffield, P.O. Box 600, Sheffield S1 4DU, United Kingdom
关键词
RADIAL BASIS FUNCTION NETWORK; NOISE CANCELLATION; NONLINEAR FILTERING;
D O I
10.1016/0893-6080(94)00078-Z
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Radical basis function neural network architectures are introduced for the nonlinear adaptive noise cancellation problem, Both FIR and IIR filter designs are considered, and it is shown that by exploiting the duality with system identification, the nonlinear IIR filter can be configured as a recurrent radial basis function network. Details of network training that is based on a combined k-means clustering and Givens routine, the inclusion of linear dynamic network links, and metrics for performance monitoring are also discussed. Examples are included to demonstrate the degree of noise suppression that can be achieved based on the new design.
引用
收藏
页码:273 / 290
页数:18
相关论文
共 37 条
[1]  
[Anonymous], 1991, INTRO THEORY NEURAL, DOI DOI 10.1201/9780429499661
[2]  
Billings S. A., 1981, IEE International Conference on Control and its Applications, P183
[3]   PERFORMANCE MONITORING IN NONLINEAR ADAPTIVE NOISE CANCELLATION [J].
BILLINGS, SA ;
ALTURKI, FA .
JOURNAL OF SOUND AND VIBRATION, 1992, 157 (01) :161-175
[4]   ADAPTIVE NOISE CANCELLATION FOR A CLASS OF NONLINEAR IIR FILTERS [J].
BILLINGS, SA ;
ELHITMY, M ;
CURTIS, ARD .
JOURNAL OF SOUND AND VIBRATION, 1990, 140 (03) :457-473
[5]   PIECEWISE LINEAR IDENTIFICATION OF NONLINEAR-SYSTEMS [J].
BILLINGS, SA ;
VOON, WSF .
INTERNATIONAL JOURNAL OF CONTROL, 1987, 46 (01) :215-235
[6]   LEAST-SQUARES PARAMETER-ESTIMATION ALGORITHMS FOR NON-LINEAR SYSTEMS [J].
BILLINGS, SA ;
VOON, WSF .
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1984, 15 (06) :601-615
[7]  
BILLINGS SA, 1984, NONLINEAR SYSTEM DES
[8]  
Broomhead D. S., 1988, Complex Systems, V2, P321
[9]   RECURSIVE HYBRID ALGORITHM FOR NONLINEAR-SYSTEM IDENTIFICATION USING RADIAL BASIS FUNCTION NETWORKS [J].
CHEN, S ;
BILLINGS, SA ;
GRANT, PM .
INTERNATIONAL JOURNAL OF CONTROL, 1992, 55 (05) :1051-1070
[10]   RECURSIVE PREDICTION ERROR PARAMETER ESTIMATOR FOR NON-LINEAR MODELS [J].
CHEN, S ;
BILLINGS, SA .
INTERNATIONAL JOURNAL OF CONTROL, 1989, 49 (02) :569-594