A realization of 3-D adaptive separable-denominator state-space filters suitable for parallel processing

Author

Muneyasu, Mitsuji ; Ishizaki, Naoya ; Hinamoto, Takao

Author_Institution

Fac. of Eng., Hiroshima Univ., Japan

Volume

4

fYear

1997

fDate

9-12 Jun 1997

Firstpage

2300

Abstract

This paper considers the realization of three-dimensional (3-D) adaptive separable-denominator state-space filters suitable for parallel processing. The least mean squares (LMS) algorithm is used to adjust the filter parameters. First, a 3-D local state-space model which is separable in the denominator is realized in a parallel form. Next, the LMS algorithm is employed to adjust the filter parameters in the parallel form. In addition, the computational time and the number of multipliers (adders) required for the realization are estimated. Finally, in a numerical example, the present adaptive filter is applied to the problem of designing a 3-D digital filter in the spatial domain

Keywords

adaptive filters; computational complexity; least mean squares methods; multidimensional digital filters; parallel architectures; state-space methods; 3D adaptive separable-denominator state-space filters; computational time; filter parameters; least mean squares algorithm; parallel processing; spatial domain; Adaptive algorithm; Adaptive filters; Adaptive signal processing; Data processing; Digital filters; Filter bank; Least squares approximation; Parallel processing; Signal processing algorithms; Transfer functions;

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.1997.612782

Filename

612782