Presented at the 1997 IEEE Asilomar Conference on Signals, Systems, and Computers

Advanced Filter Design

Miroslav Lutovac (1), Dejan Tosic (1), and Brian L. Evans (2)

(1) Dept. of Electrical Engineering, University of Belgrade, P.O. Box 35-54, 11120 Belgrade, Yugoslavia -

(2) Department of Electrical and Computer Engineering, Engineering Science Building, The University of Texas at Austin, Austin, TX 78712-1084 USA



Classical filter design techniques return only one design from an infinite collection of alternative designs, or fail to design filters when solutions exist. These classical techniques hide a wealth of alternative filter designs that are more robust when implemented in analog circuits, digital hardware, and embedded software. In this paper, we present (1) case studies of optimal analog and digital IIR filters that cannot be designed with classical techniques, and (2) the formal, mathematical framework that underlies their solutions. We have automated the advanced filter design techniques in software.

The full paper is available in PDF format.

Last Updated 09/26/99.