An adaptive algorithm for structurally passive, VLSI implemented and recursive filters

Author

Tan, A.C. ; Sun, Huifang ; Chiang, Chen-Huei

Author_Institution

Dept. of Electr. Eng., Fairleigh Dickinson Univ., Teaneck, NJ, USA

fYear

1989

fDate

14-16 Aug 1989

Firstpage

804

Abstract

A least-mean-square-based adaptive algorithm for structurally passive, VLSI implemented, and recursive filters is presented. The lattice coefficients of the structurally passive filter are expressed in terms of trigonometric functions. The coefficients are then updated in such a way that the cost function is minimized with respect to the arguments of the trigonometric functions. This approach makes stability highly tractable during the adaptation process. Moreover, the resulting adaptive filter is of low-sensitive and modular structure. Simulation results are included to demonstrate the algorithm´s capability in passive system identification

Keywords

VLSI; adaptive filters; least squares approximations; passive filters; stability; adaptive algorithm; cost function; lattice coefficients; modular structure; passive system identification; recursive filters; stability; structurally passive; trigonometric functions; Adaptive algorithm; Adaptive filters; Convergence; Digital filters; Finite impulse response filter; IIR filters; Lattices; Passive filters; Transversal filters; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1989., Proceedings of the 32nd Midwest Symposium on

Conference_Location

Champaign, IL

Type

conf

DOI

10.1109/MWSCAS.1989.101977

Filename

101977