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

1

fYear

1995

fDate

13-16 Aug 1995

Firstpage

251

Abstract

Based on the Fornasini-Marchesini second model, a technique is developed for implementing two-dimensional (2D) 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 vectors. 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 vectors; intermediate transfer functions; least mean square adaptive algorithm; Adaptive algorithm; Adaptive filters; Convergence; Digital filters; Electronic mail; Finite impulse response filter; IIR filters; Least squares approximation; Line enhancers; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on

Conference_Location

Rio de Janeiro

Print_ISBN

0-7803-2972-4

Type

conf

DOI

10.1109/MWSCAS.1995.504425

Filename

504425