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    Feedback cancellation with probe shaping compensation

    198875_198875.pdf (585.2Kb)
    Access Status
    Open access
    Authors
    Nakagawa, Carlos
    Nordholm, Sven
    Yan, Wei-Yong
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Nakagawa, C. Renato C. and Nordholm, Sven and Yan, Wei-Yong. 2014. Feedback cancellation with probe shaping compensation. IEEE Signal Processing Letters. 21 (3): pp. 365-369.
    Source Title
    IEEE Signal Processing Letters
    DOI
    10.1109/LSP.2014.2301832
    ISSN
    1070-9908
    Remarks

    Copyright © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/17400
    Collection
    • Curtin Research Publications
    Abstract

    Adaptive feedback cancellation methods may integrate the use of probe signals to assist with the biased optimal solution in acoustic systems working in closed-loop. However, injecting a probe noise in the loudspeaker decreases the signal quality perceived by users of assistive listening devices. To counter this, probe signals are usually shaped to provide some level of perceptual masking. In this letter we show the impact of using a shaping filter on the system behavior in terms of convergence rate and steady state error. From this study, it can be concluded that shaping the probe signal may have detrimental influence in terms of system performance. Accordingly, we propose to use the unshaped probe signal combined with an inverse filter of the shaping filter to identify the feedback channel. This restructure of the problem restores convergence rate of LMS type algorithms. Furthermore, we also show that an adequate forward path delay is required to obtain an unbiased solution and that the suggested scheme reduces this delay.

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