Bias of feedback cancellation algorithms based on direct closed loop identification

Author

Hellgren, Johan ; Forssell, Urban

Author_Institution

Dept. of Neurosci. & Locomotion, Linkoping Univ., Sweden

Volume

2

fYear

2000

fDate

2000

Abstract

An adaptive filter can be used to cancel the undesired acoustic feedback of hearing aids. The adaptive algorithm studied in this paper uses the output and input signal of the hearing aid to continuously track the acoustic feedback path. The bias of the optimal estimate with a quadratic norm is analyzed. The results show the importance of having a good model of the input signal to the hearing aid, as the error in this model will introduce bias in the estimate of the feedback path

Keywords

acoustic filters; acoustic signal processing; adaptive filters; closed loop systems; feedback; hearing aids; identification; optimisation; adaptive algorithm; adaptive filter; direct closed loop identification; feedback cancellation algorithms bias; feedback path estimate; hearing aids; input signal model; optimal estimate; quadratic norm; undesired acoustic feedback; Adaptive algorithm; Adaptive filters; Auditory system; Delay estimation; Feedback loop; Filtering; Hearing aids; Neurofeedback; Output feedback; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.859098

Filename

859098