Optimization of IIR filter coefficients from FIR filter taps by means field annealing

Author

Nobakht, Ramin A.

Author_Institution

IBM Corp., Research Triangle Park, NC, USA

Volume

5

fYear

1992

fDate

23-26 Mar 1992

Firstpage

77

Abstract

A technique for designing stable infinite impulse response (IIR) filters is introduced. An arbitrary order IIR filter can be designed which will very closely model the magnitude and the phase response of a finite impulse response (FIR) filter. Mean field annealing (MFA) is used to estimate the pole and the zero coefficients of the IIR filter. Due to the global optimization nature of the proposed technique, higher performance improvements can be obtained for the same filter order. In addition, the proposed technique will stay away from coefficients which cause the IIR filter to become unstable

Keywords

convergence of numerical methods; digital filters; neural nets; poles and zeros; simulated annealing; FIR filter taps; IIR filter coefficients; arbitrary order IIR filter; convergence; design; means field annealing; optimization; pole coefficients; zero coefficients; Finite impulse response filter; IIR filters; Least squares approximation; Least squares methods; Neural networks; Nonlinear filters; Poles and zeros; Resonance light scattering; Root mean square; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226654

Filename

226654