DocumentCode
294700
Title
Reduced parameter Volterra filters
Author
Nowak, Robert D. ; Van Veen, Barry D.
Author_Institution
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume
3
fYear
1995
fDate
9-12 May 1995
Firstpage
1569
Abstract
To reduce the number of parameters in the Volterra filter a tensor product basis approximation is considered. The approximation can be implemented much more efficiently than the original Volterra filter. In addition, because the design methods are based on partial characterization of the Volterra filter, the approximations are also useful in reducing the complexity of identification and modelling problems. Useful bounds are obtained on the approximation error
Keywords
Volterra equations; approximation theory; error analysis; filtering theory; parameter estimation; tensors; approximation error; design methods; identification problems; modelling problems; reduced parameter Volterra filters; tensor product basis approximation; Approximation error; Design methodology; Kernel; Linear approximation; Nonlinear filters; Random variables; Tensile stress; USA Councils; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.479862
Filename
479862
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