A novel 2-D adaptive filter based on the 1-D RLS algorithm

Author

Muneyasu, Mitsuji ; Uemoto, Eiji ; Hinamoto, Takao

Author_Institution

Fac. of Eng., Hiroshima Univ., Japan

Volume

4

fYear

1997

fDate

9-12 Jun 1997

Firstpage

2317

Abstract

This paper proposes a novel two-dimensional (2-D) adaptive filter by applying a 1-D recursive least-squares (RLS) algorithm along both horizontal and vertical directions. The relation of the proposed algorithm to a usual 2-D RLS algorithm are investigated. A method that employs a priori estimation error is also considered to accelerate the convergent rate of the algorithm. The proposed filter has a good performance in nonstationary case, and the accuracy of convergence is better than in the existing 2-D least mean square (LMS) adaptive filters. The amount of computations required for the proposed algorithm are relatively small. Finally, an example is given to illustrate the utility of the proposed filter

Keywords

adaptive filters; convergence of numerical methods; filtering theory; image enhancement; least squares approximations; two-dimensional digital filters; 1D RLS algorithm; 2D adaptive filter; convergent rate acceleration; estimation error; recursive least-squares algorithm; two-dimensional adaptive filter; Acceleration; Adaptive filters; Convergence; Equations; Estimation error; Finite impulse response filter; Least squares approximation; Noise reduction; Resonance light scattering; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.612786

Filename

612786