Title :
An efficient, fast converging adaptive filter for network echo cancellation
Author_Institution :
Dept. of Acoust. & Speech Res., Bell Labs., Murray Hill, NJ, USA
Abstract :
This paper discusses a fast efficient adaptive filtering algorithm for network echo cancellers PNLMS++ (proportionate normalized least mean squares ++). Compared to the conventional normalized least mean squares (NLMS) algorithm, PNLMSI++ converges much more quickly when the echo path is sparse. When the echo path is dispersive, the convergence rate is the same as NLMS. In addition, the new algorithm diverges at the same rate and to the same misalignment level as NLMS during periods of undetected double-talk. PNLMS++ is only 50% more computationally complex than NLMS and requires no additional memory.
Keywords :
adaptive filters; convergence of numerical methods; echo suppression; least mean squares methods; PNLMS++; computationally complex; convergence rate; echo path; fast converging adaptive filter; misalignment level; network echo cancellers; proportionate normalized least mean squares ++; Acoustics; Adaptive filters; Circuits; Computational complexity; Convergence; Delay; Dispersion; Echo cancellers; Filtering algorithms; Speech;
Conference_Titel :
Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5148-7
DOI :
10.1109/ACSSC.1998.750893