Design of two-dimensional digital filters in the spatial domain

Author

Bose, Tamal ; Chen, Mei-Qin

Author_Institution

Dept. of Electr. Eng., Colorado Univ., Denver, CO, USA

Volume

41

Issue

3

fYear

1993

fDate

3/1/1993 12:00:00 AM

Firstpage

1464

Lastpage

1469

Abstract

The design of two-dimensional (2-D) recursive digital filters in the spatial domain is investigated. Two algorithms are proposed for this purpose, namely, a modified version of the Newton-Raphson (MNR) method, and the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm. Both of these methods are shown to outperform the Davidson-Fletcher-Powell (DFP) algorithm in terms of efficiency, when used for filter design. Comparison shows that the MNR is more efficient than the BFGS except for very-low-order filters, where the BFGS performs slightly better

Keywords

two-dimensional digital filters; 2D recursive digital filters; Broyden Fletcher-Goldfarb-Shanno method; Davidson-Fletcher-Powell algorithm; Newton-Raphson method; design; efficiency; spatial domain; two-dimensional digital filters; Array signal processing; Biomedical signal processing; Digital filters; Maximum likelihood detection; Maximum likelihood estimation; Multidimensional signal processing; Parameter estimation; Power harmonic filters; Signal processing algorithms; Speech processing;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.205758

Filename

205758