DocumentCode
377380
Title
Orthogonal polynomial-based nonlinear adaptive filters
Author
Jenkins, W.K. ; Therrien, C.W. ; Li, X.
Author_Institution
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume
1
fYear
2001
fDate
4-7 Nov. 2001
Firstpage
644
Abstract
For certain types of signals, such as white Gaussian signals, the Volterra series can be fully represented by orthogonal polynomials. With an orthogonal polynomial representation, all the nonlinear terms become statistically orthogonal with respect to each other. This allows less computationally complex adaptive algorithms to be developed for adaptive Volterra filters based on the orthogonal polynomial structure.
Keywords
AWGN; Volterra series; adaptive filters; nonlinear filters; polynomials; signal representation; Volterra series; adaptive Volterra filters; adaptive algorithms; nonlinear adaptive filters; nonlinear terms; orthogonal polynomials; signal representation; statistically orthogonal terms; white Gaussian signals; Adaptive algorithm; Adaptive filters; Convergence; Instruments; Kernel; Lattices; Least squares approximation; Nonlinear systems; Polynomials; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7147-X
Type
conf
DOI
10.1109/ACSSC.2001.987002
Filename
987002
Link To Document