A nonlinear optimization algorithm for asymmetric FIR digital filters

Author

Sullivan, J.L. ; Adams, J.W.

Author_Institution

Dept. of Electr. & Comput. Eng., California State Univ., Northridge, CA, USA

Volume

2

fYear

1995

fDate

30 Apr-3 May 1995

Firstpage

869

Abstract

An enhanced version of a previously presented nonlinear optimization algorithm is presented for designing asymmetric FIR digital filters. The asymmetric FIR filter design (AFFD) algorithm is based on the iterative use of the generalized multiple exchange (GME) algorithm. The enhanced version of the AFFD algorithm uses a line search of the nonlinear Lagrangian to determine the iteration step size. This greatly enhances the convergence properties of the AFFD algorithm. The AFFD algorithm can design optimal multiband filters that simultaneously meet specifications on the group delay and the magnitude of the frequency response

Keywords

FIR filters; band-pass filters; circuit optimisation; convergence of numerical methods; delays; digital filters; frequency response; iterative methods; AFFD algorithm; asymmetric FIR digital filters; convergence properties; frequency response; generalized multiple exchange; group delay; iteration step size; line search; nonlinear Lagrangian; nonlinear optimization algorithm; optimal multiband filters; Algorithm design and analysis; Delay; Digital filters; Finite impulse response filter; Frequency response; Iterative algorithms; Linear programming; Passband; Quadratic programming; Radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on

Conference_Location

Seattle, WA

Print_ISBN

0-7803-2570-2

Type

conf

DOI

10.1109/ISCAS.1995.519902

Filename

519902