Title :
A new 2-D adaptive filter using affine projection algorithm
Author :
Muneyasu, Mitsuji ; Hinamoto, Takao
Author_Institution :
Fac. of Eng., Hiroshima Univ., Japan
fDate :
31 May-3 Jun 1998
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;
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
DOI :
10.1109/ISCAS.1998.694415
