Presented at the
1998 IEEE International
Symposium on Circuits and Systems
Joint Optimization of Multiple
Behavioral and Implementation Properties of Analog Filter Designs
Brian L. Evans (1),
Miroslav D. Lutovac (2), and
Dejan V. Tosic (2)
(1) Embedded Signal Processing Laboratory,
Department of Electrical and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712-1084 USA
(2) School of Electrical Engineering,
University of Belgrade,
Bulevar Revolucije 73,
11000 Belgrade, Yugoslavia
This paper presents an extensible framework for optimizing analog filter
designs for multiple behavioral and implementation properties.
We demonstrate the framework using the behavioral properties of
magnitude response, phase response, and peak overshoot, and the
implementation property of quality factors.
We represent the analog filter in terms of its poles and zeroes.
We match the constrained non-linear optimization problem to a sequential
quadratic programming (SQP) problem, and develop symbolic mathematical
software to translate the SQP formulation into working MATLAB programs
to optimize analog filter designs.
The automated approach avoids errors in algebraic calculations and
errors in transcribing the mathematical equations in software.
The packages are freely distributable.
Download filter optimization packages.
The full paper is available in
Last Updated 11/08/04.