Design of stable IIR digital filters with equiripple passbands and peak-constrained least-squares stopbands

Author

Lu, W.-S.

Author_Institution

Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada

Volume

46

Issue

11

fYear

1999

fDate

11/1/1999 12:00:00 AM

Firstpage

1421

Lastpage

1426

Abstract

This paper describes an algorithmic development for the design of stable infinite impulse response (IIR) digital filters with equiripple passbands and peak-constrained least-squares stopbands. Central to the development is a re-formulation of the design problem as an iterative quadratic programming problem where the stability and equiripple passbands and peak-constrained requirements are met by imposing a system of linear inequality constraints while the LSS property is satisfied by minimizing a weighted least-squares type objective function

Keywords

IIR filters; band-pass filters; circuit stability; iterative methods; least squares approximations; quadratic programming; recursive filters; LSS property; equiripple passbands; iterative quadratic programming problem; linear inequality constraints; peak-constrained least-squares stopbands; stable IIR digital filters; weighted least-squares type objective function; Algorithm design and analysis; Digital filters; Filtering theory; Finite impulse response filter; IIR filters; Iterative algorithms; Passband; Quadratic programming; Stability; Transfer functions;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.803482

Filename

803482