Lattice and OR decomposition-based algorithms for recursive least squares adaptive nonlinear filters

Author

Syed, Mushtaq A. ; Mathews, V. John

Author_Institution

Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA

fYear

1990

fDate

1-3 May 1990

Firstpage

262

Abstract

A lattice structure for adaptive Volterra systems is presented. The structure is applicable to arbitrary planes of support of the Volterra kernels. A fast least-squares lattice algorithm and a fast QR-lattice adaptive nonlinear filtering algorithm based on the lattice structure are presented. These algorithms share the fast convergence property of fast least-squares transversal Volterra filters; however, unlike the transversal filters, they do not suffer from numerical instability

Keywords

adaptive filters; filtering and prediction theory; least squares approximations; OR decomposition-based algorithms; Volterra kernels; adaptive Volterra systems; convergence property; fast QR-lattice adaptive nonlinear filtering algorithm; fast least-squares lattice algorithm; lattice structure; recursive least squares adaptive nonlinear filters; transversal Volterra filters; Adaptive filters; Biological system modeling; Convergence of numerical methods; Filtering algorithms; Kernel; Lattices; Least squares methods; Nonlinear filters; Resonance light scattering; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1990., IEEE International Symposium on

Conference_Location

New Orleans, LA

Type

conf

DOI

10.1109/ISCAS.1990.112005

Filename

112005