A versatile algorithm for two-dimensional symmetric noncausal modeling

Author

Glentis, George-Othon ; Slump, Cornelis H. ; Herrmann, Otto E.

Author_Institution

Dept. of Electr. Eng., Twente Univ., Enschede, Netherlands

Volume

2

fYear

1994

fDate

13-16 Nov 1994

Firstpage

595

Abstract

In this paper a novel algorithm is presented for the efficient two-dimensional (2-D) symmetric noncausal finite impulse response (FIR) filtering and autoregressive (AR) modeling. Symmetric filter masks of general boundaries are allowed. The proposed algorithm offers the greatest maneuverability in the 2-D index space in a computational efficient way. This flexibility can be taken into advantage if the shape of the 2-D mask is not a priori known and has to be dynamically configured

Keywords

FIR filters; autoregressive processes; filtering theory; identification; modelling; two-dimensional digital filters; 2-D index space; 2-D mask shape; 2D symmetric FIR filtering; 2D system identification; AR modeling; algorithm; autoregressive modeling; computational efficiency; noncausal finite impulse response filtering; symmetric filter masks; two-dimensional symmetric noncausal modeling; Autocorrelation; Computer networks; Control engineering computing; Control system synthesis; Equations; Filtering algorithms; Finite impulse response filter; Nonlinear filters; Vectors; Virtual manufacturing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413640

Filename

413640