Implementation methodology of acoustic echo cancellation based on FELMS adaptive algorithm

Author

Zergaïnoh, A.

Author_Institution

Inst. Galilee, Villetaneuse, France

Volume

2

fYear

1996

fDate

13-16 Oct 1996

Firstpage

972

Abstract

The paper presents a unified methodology for an efficient Digital Signal Processor (DSP) implementation of acoustic echo cancellation algorithm based on the Fast Exact Least Mean Square (FELMS) adaptive algorithms. The difficulty is to retain as much as possible the improvement brought by the reduction of the arithmetic complexity of FELMS adaptive algorithms without exceeding DSP resources such as pointer register. The objective is reached by an efficient data management and an optimal memory data organization

Keywords

FIR filters; adaptive filters; adaptive signal processing; computational complexity; digital filters; echo suppression; least mean squares methods; DSP implementation; FELMS adaptive algorithm; acoustic echo cancellation; arithmetic complexity reduction; data management; digital signal processor; echo cancellation algorithm; fast exact LMS adaptive algorithm; least mean square adaptive algorithm; optimal memory data organization; unified implementation methodology; Adaptive algorithm; Adaptive filters; Arithmetic; Delay; Digital signal processing; Digital signal processors; Echo cancellers; Filtering algorithms; Finite impulse response filter; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on

Conference_Location

Rodos

Print_ISBN

0-7803-3650-X

Type

conf

DOI

10.1109/ICECS.1996.584548

Filename

584548