A comparison of adaptive IIR echo canceller hybrids

Author

Gee, Sharlene ; Rupp, Markus

Author_Institution

Inst. fuer Netzwerk und Signaltheorie, Tech. Hochschule Darmstadt, Germany

fYear

1991

fDate

14-17 Apr 1991

Firstpage

1541

Abstract

A comparison of adaptive IIR (infinite impulse response) filters with gradient-based adaptation algorithms is presented. The following algorithms were investigated: series parallel LMS (SP-LMS), equation error formulation LMS (EEF-LMS), bias-remedy LMS (BRLMS) alternate filtering mode (AFM), simple hyperstable adaptive recursive filter (SHARF), and normalized LMS (NLMS), which served as an FIR comparison case. The classification structure employed clearly illustrates the relationships of the algorithms to each other; additionally, other feasible filter methodologies for further investigation were revealed. All algorithms were implemented on a Motorola 56001. Correct normalization of the adaptation stepsize played a critical role in the results, which were obtained by real-time measurements. Only the SHARFS and BRLMS algorithms fulfil the requirements of a low-cost hybrid echo canceller

Keywords

adaptive systems; digital filters; echo suppression; signal processing; Motorola 56001; adaptive IIR echo canceller hybrids; alternate filtering mode; bias-remedy LMS; classification structure; equation error formulation LMS; gradient-based adaptation algorithms; infinite impulse response; normalized LMS; series parallel LMS; simple hyperstable adaptive recursive filter; Adaptive filters; Costs; Echo cancellers; Filtering algorithms; Finite impulse response filter; IIR filters; Least squares approximation; Quantization; Telephony; Transversal filters;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on

Conference_Location

Toronto, Ont.

ISSN

1520-6149

Print_ISBN

0-7803-0003-3

Type

conf

DOI

10.1109/ICASSP.1991.150534

Filename

150534