Misconvergence and stabilization of adaptive IIR lattice filters

Author

Pérez-González, Femando ; Valcarce, Roberto López

Author_Institution

Dept. Tecnoloxias das Comunicacions, Vigo Univ., Spain

Volume

1

fYear

2000

fDate

2000

Firstpage

65

Abstract

We take a new look to adaptive IIR lattice filters in order to devise algorithms that preserve the stability of the corresponding direct form schemes. By analyzing the local properties of stationary points, a transformation achieving this goal is suggested, which gives algorithms that can be efficiently implemented. Application to the Steiglitz-McBride and SHARF algorithms is presented. By contrast, it is shown that previous lattice versions of these algorithms may fail to preserve stability of stationary points

Keywords

IIR filters; adaptive filters; adaptive signal processing; circuit stability; convergence of numerical methods; differential equations; filtering theory; lattice filters; SHARF algorithm; Steiglitz-McBride algorithm; adaptive IIR lattice filters; algorithms; local properties; misconvergence; ordinary differential equation; stabilization; stationary points; Adaptive filters; Convergence; Eigenvalues and eigenfunctions; Finite impulse response filter; IIR filters; Jacobian matrices; Lattices; Stability; Symmetric matrices; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861865

Filename

861865