Digital Filter Design: Global Solutions via Polynomial Optimization

Author

Lu, Wu-Sheng

Author_Institution

Dept. of Electr. & Comput. Eng., Victoria Univ., BC

fYear

2006

fDate

4-7 Dec. 2006

Firstpage

49

Lastpage

52

Abstract

This paper aims at introducing a new design tool based on polynomial optimization, which can be used to obtain globally optimal designs for stable IIR filters, single-stage and multistage frequency response masking filters, and digital filters with discrete coefficients, and many other types of filters and filter banks. We show how these design problems can be formulated as polynomial optimization problems (POPs) and present a simple numerical example to demonstrate the usefulness of this new design framework

Keywords

FIR filters; IIR filters; digital filters; optimisation; polynomials; IIR filters; digital filter design; discrete coefficients; filter banks; global solutions; multistage frequency response masking filters; polynomial optimization problems; single-stage frequency response masking filters; Design optimization; Digital filters; Filter bank; Finite impulse response filter; Frequency response; IIR filters; Linear programming; Polynomials; Quadratic programming; Signal design;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2006. APCCAS 2006. IEEE Asia Pacific Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0387-1

Type

conf

DOI

10.1109/APCCAS.2006.342293

Filename

4145329