Title :
A fast converging algorithm for network echo cancellation
Author :
Nekuii, Mehran ; Atarodi, Mojtaba
Author_Institution :
Dept. of Electr. & Comput. Eng., McMaster Univ., Hamilton, Ont., Canada
fDate :
4/1/2004 12:00:00 AM
Abstract :
The letter presents a novel method for network echo cancellation, based on a combination of normalized least mean square (NLMS) and proportionate NLMS (PNLMS) adaptive filtering algorithms. First, based on a rough analysis of PNLMS adaptation, it is indicated why, after PNLMS initial fast convergence, it slows down. Then, the method used to overcome this deficiency is presented. Last, by showing some of the simulations, its improvement over the PNLMS algorithm is shown.
Keywords :
adaptive filters; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; telecommunication networks; adaptive filtering; composite proportionate normalized LMS; composite proportionate normalized least mean squares; fast converging algorithm; network echo cancellation; Adaptive filters; Algorithm design and analysis; Convergence; Eigenvalues and eigenfunctions; Equations; Filtering algorithms; Gaussian noise; Signal processing algorithms;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2004.824027
