Title :
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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.825381
