The two-dimensional extended correlation least mean squares (2-D) ECLMS algorithm

Author

Lin, Hai ; Asharif, M.R. ; Yamashita, Katsumi

Author_Institution

Dept. of Electr. & Electron. Eng., Ryukyus Univ., Okinawa, Japan

Volume

2

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

900

Abstract

Two dimensional (2-D) adaptive algorithm has been successfully used in a wide range of two dimensional signal processing applications, such as image restoration, 2-D system identification. In a 2-D noise canceller application, the error signal in the LMS algorithm contains the desired signal. Therefore, it misleads the tap coefficients to achieve the unknown system response. This problem is similar to the double-talk problem in the echo canceller system. Recently, the correlation least mean squares (CLMS) algorithm has been proposed to solve the double-talk problem in the echo cancelling system. In this paper, we proposes a two-dimensional (2-D) Extended CLMS algorithm and uses it to solve the abnormal error signal problem in 2-D noise canceller

Keywords

echo suppression; image processing; image restoration; least mean squares methods; 2D system identification; adaptive algorithm; double-talk problem; echo canceller; image restoration; noise canceller; signal processing; two-dimensional extended correlation least mean squares; Adaptive algorithm; Echo cancellers; Finite impulse response filter; Image restoration; Least squares approximation; Microphones; Noise cancellation; Signal processing; Teleconferencing; Two dimensional displays;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.825381

Filename

825381