2-D adaptive state-space filters based on the Fornasini-Marchesini second model

Author

Hinamoto, Takao ; Doi, Akimitsu ; Muneyasu, Mitsuji

Author_Institution

Fac. of Eng., Hiroshima Univ., Japan

Volume

44

Issue

8

fYear

1997

fDate

8/1/1997 12:00:00 AM

Firstpage

667

Lastpage

670

Abstract

Based on the Fornasini-Marchesini second model, a technique is developed for implementing two-dimensional (2-D) adaptive state-space filters. First, the relationship between the coefficient sensitivities and the intermediate transfer functions is investigated for the Fornasini-Marchesini second model. A least mean square (LMS) adaptive algorithm is then presented by using new systems that generate the gradient signals. Finally, a 2-D adaptive line enhancer is constructed by using the 2-D adaptive state-space filter to illustrate the utility of the proposed technique

Keywords

adaptive filters; least mean squares methods; state-space methods; transfer functions; two-dimensional digital filters; 2D adaptive state-space filters; Fornasini-Marchesini second model; adaptive line enhancer; coefficient sensitivities; gradient signals; intermediate transfer functions; least mean square adaptive algorithm; Adaptive algorithm; Adaptive filters; Digital filters; Finite impulse response filter; IIR filters; Least squares approximation; Signal generators; Transfer functions; Transversal filters; Two dimensional displays;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.618042

Filename

618042