Title :
Composite PNLMS & NLMS adaptation: a new method for network echo cancellation
Author :
Nekuii, Mehran ; Atarodi, Mojtaba
Author_Institution :
Sharif Univ. of Technol., Tehran, Iran
Abstract :
This paper describes an improved version of the previously proposed fast converging algorithm, the proportionate normalized least mean squares (PNLMS), for network echo cancellers. We introduce a simple analysis of the PNLMS convergence behavior to show why after the fast initial convergence, it slows down. Also, the method has worked out to overcome this deficiency is presented. The improvement is shown by simulation results.
Keywords :
adaptive filters; adaptive signal processing; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; NLMS adaptation; PNLMS adaptation; adaptive filter; computational complexity; fast converging algorithm; network echo cancellation; normalized least mean squares; proportionate normalized least mean squares; simulation results; Adaptive filters; Algorithm design and analysis; Convergence; Digital signal processing; Echo cancellers; Eigenvalues and eigenfunctions; Equations; Signal analysis; Speech; Stability;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028201
