Title :
A novel adaptation scheme in the NLMS algorithm for echo cancellation
Author_Institution :
Lucent Technol. Bell Labs., Shanghai, China
Abstract :
This paper presents a new normalized least mean square (NLMS) adaptation scheme for echo cancellation. The scheme combines the advantages of the conventional Geigel algorithm with some initiative ideas. The Geigel is used for rough detection of double talk or echo path change within a short delay period, while a new control mechanism is proposed for further accurate discrimination of double talk and echo path change and the corresponding real-time updating. Experiments show that stable performance is ensured during abrupt changes. Efficiency as well as effectiveness is increased.
Keywords :
acoustic signal detection; adaptive signal detection; echo suppression; least mean squares methods; Geigel algorithm; NLMS algorithm; adaptation scheme; double talk detection; echo cancellation; echo path change detection; normalized least mean square adaptation; Additive noise; Change detection algorithms; Communication system control; Convergence; Delay; Echo cancellers; Noise cancellation; Speech enhancement; Stability; Steady-state;
Journal_Title :
Signal Processing Letters, IEEE
