(1) Dept. of Electrical Engineering,
University of Belgrade, P.O. Box 35-54,
11120 Belgrade, Yugoslavia
elutovac@ubbg.etf.bg.ac.yu -
etosicde@ubbg.etf.bg.ac.yu
(2) Department of Electrical and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712-1084 USA
bevans@ece.utexas.edu
The principal drawback of the classical filter design is in returning only one solution, which can be unacceptable for many practical implementations. We propose a new approach to the filter design by using a mixture of symbolic and numeric computation and discrete non-linear optimization. This approach should provide reduced filter complexity for a desired performance, or better performances for the required complexity.
The full paper is available in PDF format.
Last Updated 02/06/99.