DocumentCode
2491997
Title
Orthogonalization of Gaussian signals for Volterra system identification
Author
Mathews, V. John
Author_Institution
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
fYear
1994
fDate
2-5 Oct 1994
Firstpage
105
Lastpage
108
Abstract
This paper presents a very simple method for orthogonalizing Gaussian input signals for identification of truncated Volterra systems. The orthogonalization requires a linear lattice predictor and some nonlinear processing of the backward prediction error signals of the various orders. However, the nonlinear processors do not depend on the statistics of the input signals, and consequently, are easy to design and implement
Keywords
Gaussian processes; Volterra equations; identification; signal processing; Gaussian input signals; Gaussian signals; backward prediction error signals; linear lattice predictor; nonlinear processing; nonlinear processors; signal orthogonalization; truncated Volterra systems; volterra system identification; Autocorrelation; Cities and towns; Higher order statistics; Lattices; Nonlinear systems; Parameter estimation; Polynomials; Signal design; Signal processing; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location
Yosemite National Park, CA
Print_ISBN
0-7803-1948-6
Type
conf
DOI
10.1109/DSP.1994.379863
Filename
379863
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