Title :
Design of stable minimax IIR digital filters using semidefinite programming
Author_Institution :
Dept. of Electr. & Comput. Eng., Victoria Univ., BC, Canada
Abstract :
Semidefinite programming (SDP) has recently been found useful in designing various types of FIR digital filters. This paper describes a SDP-based method for the design of stable minimax IIR filters. A single linear matrix inequality (LMI) constraint assures the filter´s stability and fits nicely into the SDP-based design setting. Design efficiency and performance of the proposed method an illustrated by simulations and comparisons to a well-known design by Deczky (1972)
Keywords :
IIR filters; circuit stability; digital filters; filtering theory; mathematical programming; minimax techniques; IIR digital filter design; SDP-based method; filter stability; linear matrix inequality constraint; semidefinite programming; stable minimax IIR digital filters; Constraint theory; Design methodology; Digital filters; Finite impulse response filter; IIR filters; Linear matrix inequalities; Minimax techniques; Nonlinear filters; Quadratic programming; Stability;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.857103
