Title :
Design of stable IIR digital filters with equiripple passbands and peak-constrained least-squares stopbands
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
fDate :
11/1/1999 12:00:00 AM
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;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
