A new 2-D adaptive filter using affine projection algorithm

Author

Muneyasu, Mitsuji ; Hinamoto, Takao

Author_Institution

Fac. of Eng., Hiroshima Univ., Japan

Volume

5

fYear

1998

fDate

31 May-3 Jun 1998

Firstpage

90

Abstract

This paper proposes a realization of two-dimensional (2-D) adaptive finite impulse response (FIR) filters using the affine projection method. The convergence property of the proposed algorithm is superior to that of the 2-D least mean square (LMS) and normalized LMS (NLMS) algorithms. This algorithm has properties that lie between those of NLMS and recursive least squares (RLS) algorithms. The generalization of the proposed algorithm is also discussed. To illustrate the utility of the proposed technique, this filter is applied to the 2-D system identification

Keywords

FIR filters; adaptive filters; convergence of numerical methods; filtering theory; identification; two-dimensional digital filters; 2D adaptive filter; 2D system identification; FIR filters; affine projection algorithm; convergence property; finite impulse response filters; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Convergence; Digital filters; Finite impulse response filter; Least squares approximation; Projection algorithms; Signal processing algorithms; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on

Conference_Location

Monterey, CA

Print_ISBN

0-7803-4455-3

Type

conf

DOI

10.1109/ISCAS.1998.694415

Filename

694415