Title :
LMS algorithm based on subband decomposition
Author :
Zhiyuan, Chen ; Guangxin, Yue
Author_Institution :
Dept. of Telecommun. Eng., Beijing Univ. of Posts & Telecommun., China
Abstract :
In this paper, an LMS algorithm based on subband decomposition is proposed, which shows better convergence than traditional LMS adaptive algorithms. First, based on subband decomposition adaptive filtering including cross filtering and its Wiener optimal solution are presented. Then we give a detailed analysis of the LMS algorithm based on subband decomposition and its computational complexity. The simulation results verify the theoretical results that have been obtained
Keywords :
adaptive filters; channel bank filters; computational complexity; convergence of numerical methods; least mean squares methods; LMS algorithm; Wiener optimal solution; adaptive filtering; computational complexity; convergence; cross filtering; subband decomposition; Adaptive filters; Computational complexity; Computational modeling; Convergence; Echo cancellers; Filter bank; Filtering algorithms; Finite impulse response filter; Least squares approximation; Signal synthesis;
Conference_Titel :
Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
7-80090-827-5
DOI :
10.1109/ICCT.1998.743109
