Title :
Echo cancellation using a variable step-size NLMS algorithm
Author :
Sulyman, Ahmed I. ; Zerguine, Azzedine
Author_Institution :
Electr. & Comput. Eng. Dept., Queen´s Univ., Kingston, ON, Canada
Abstract :
In this work, an echo cancellation scheme using a variable step-size Normalized Least Mean-Square (VSS-NLMS) adaptive algorithm is proposed. This work shows that the use of the VSS-NLMS algorithm will eliminate much of the trade-off between residual error and speed of convergence existing with the fixed step-size NLMS algorithm and therefore resulting in an improved performance.
Keywords :
adaptive filters; adaptive signal processing; convergence of numerical methods; echo suppression; least mean squares methods; VSS-NLMS algorithm; convergence na; echo cancellation scheme; fixed step-size NLMS algorithm; normalized least mean square; residual error; variable step-size NLMS adaptive algorithm; Abstracts; Least squares approximations; Performance analysis; Speech;
Conference_Titel :
Signal Processing Conference, 2004 12th European
Conference_Location :
Vienna
Print_ISBN :
978-320-0001-65-7
