Title :
On computationally-efficient NLMS-based algorithms for echo cancellation applications
Author :
Abdel-Raheem, Esam
Author_Institution :
Dept. of Electr. & Comput. Eng., Windsor Univ., Ont.
Abstract :
This paper investigates computationally-efficient adaptive algorithms suitable for echo cancellation applications. Power-of-two (PO2) quantization for the error and/or regressor vector is added to a selective-partial-coefficient-update algorithm (SPCUA) to further reduce the amount of computations. A simple stop-and-go procedure is included to save more computations when the generated error magnitude is below a certain limit. Simulation results with comparisons are included to show the advantages of the improved algorithms
Keywords :
echo suppression; least mean squares methods; vector quantisation; computationally efficient adaptive algorithm; echo cancellation; error vector; normalized least mean square; regressor vector; selective-partial-coefficient-update algorithm; stop and go procedure; Adaptive algorithm; Adaptive filters; Adaptive systems; Application software; Degradation; Echo cancellers; Power engineering computing; Quantization; Signal processing algorithms; Telephony;
Conference_Titel :
Signal Processing and Information Technology, 2005. Proceedings of the Fifth IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-9313-9
DOI :
10.1109/ISSPIT.2005.1577179
