Title :
A variable parameter efficient μ-law improved proportionate affine projection algorithm
Author :
Xia, Xiao ; Sun, Songlin ; Jing, Xiaojun ; Huang, Hai
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
The proportionate affine projection algorithm (APA) was developed for echo cancellation. To further improve the convergence rate and tracking ability, in this paper, a variable parameter μ of the μ-law compression is applied to a recently μ-law “memory”-improved proportionate APA (MMIPAPA). In proposed algorithm, the parameter μ is not constant, but time varying and adaptive. Compared with MMIPAPA, simulation results show that the proposed algorithm, termed the adaptive μ-law “memory”-improved proportionate APA (AMMIPAPA), achieves better convergence performance and owns better tracking ability.
Keywords :
affine transforms; echo suppression; μ-law compression; μ-law memory; convergence rate; echo cancellation; proportionate affine projection algorithm; tracking ability; variable parameter efficient μ-law; Adaptive filters; Convergence; Echo cancellers; Projection algorithms; Signal processing algorithms; Adaptive filtering; echo cancellation; proportionate affine projection algorithm;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
DOI :
10.1109/CCIS.2011.6045135
