A comparison of methods for adaptively designing minimum phase FIR models

Author

Rasmussen, James L. ; Etter, Delores M.

Author_Institution

Dept. of Electr. & Comput. Eng., Colorado Univ., Boulder, CO, USA

fYear

1993

fDate

1-3 Nov 1993

Firstpage

1220

Abstract

Given a set of filters with the same magnitude response, the minimum phase filter is the one with the minimum phase lag. This filter will also have the minimum group delay and the minimum energy delay. Obtaining the minimum phase FIR estimate of an unknown system is a constrained optimization problem because the zeros of the model must be constrained to be within the unit circle. The authors compare several structures for adaptively obtaining the optimum FIR minimum phase filter model for an unknown FIR system

Keywords

adaptive filters; delays; digital filters; minimisation; poles and zeros; adaptively design; constrained optimization problem; magnitude response; minimum energy delay; minimum group delay; minimum phase FIR estimate; minimum phase filter; minimum phase lag; optimum FIR minimum phase filter model; unknown FIR system; unknown system; zeros; Adaptive filters; Automatic logic units; Constraint optimization; Delay; Design methodology; Equations; Finite impulse response filter; Lattices; Least squares methods; Phase estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342371

Filename

342371