A two-dimensional adaptive joint-process estimator using new lattice form

Author

Nakachi, Takayuki ; Yamashita, Katsumi ; Hamada, Nozomu

Author_Institution

Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan

Volume

2

fYear

1996

fDate

12-15 May 1996

Firstpage

33

Abstract

The present paper presents two-dimensional (2D) adaptive joint-process estimator using new lattice structure. The normalized LMS algorithm is used to update the filter coefficients. The proposed adaptive lattice estimator can represent a wide class of 2-D FIR systems and possesses orthogonality in the backward prediction error fields. These properties ensure superior convergence speed and tracking properties. Through computer simulation, the proposed model has been demonstrated to be useful for noise cancellation

Keywords

FIR filters; adaptive estimation; adaptive filters; convergence of numerical methods; filtering theory; image restoration; interference suppression; lattice filters; least mean squares methods; prediction theory; 2D FIR systems; 2D adaptive joint-process estimator; adaptive lattice estimator; backward prediction error fields; convergence speed; filter coefficients updating; lattice structure; noise cancellation; normalized LMS algorithm; tracking properties; Adaptive filters; Computer simulation; Convergence; Finite impulse response filter; Lattices; Noise cancellation; Paper technology; Predictive models; Samarium; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.540345

Filename

540345