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
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;
Conference_Titel :
Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
Conference_Location :
Yosemite National Park, CA
Print_ISBN :
0-7803-1948-6
DOI :
10.1109/DSP.1994.379863
