For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
An Effective Acoustic Feedback Cancellation Algorithm Based on the Normalized Sub-Band Adaptive Filter
Xia WANG Ruiyu LIANG Qingyun WANG Li ZHAO Cairong ZOU
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2016/01/01
Online ISSN: 1745-1361
Type of Manuscript: LETTER
Category: Speech and Hearing
sub-band adaptive filters, acoustic feedback cancellation, hearing aids, variable step size,
Full Text: PDF(301.2KB)>>
In this letter, an effective acoustic feedback cancellation algorithm is proposed based on the normalized sub-band adaptive filter (NSAF). To improve the confliction between fast convergence rate and low misalignment in the NSAF algorithm, a variable step size is designed to automatically vary according to the update state of the filter. The update state of the filter is adaptively detected via the normalized distance between the long term average and the short term average of the tap-weight vector. Simulation results demonstrate that the proposed algorithm has superior performance in terms of convergence rate and misalignment.