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    The Hybrid Simplified Kalman Filter for Adaptive Feedback Cancellation

    Access Status
    Fulltext not available
    Authors
    Albu, F.
    Tran, L.
    Nordholm, Sven
    Date
    2018
    Type
    Conference Paper
    
    Metadata
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    Citation
    Albu, F. and Tran, L. and Nordholm, S. 2018. The Hybrid Simplified Kalman Filter for Adaptive Feedback Cancellation, pp. 45-50.
    Source Title
    2018 12th International Conference on Communications, COMM 2018 - Proceedings
    DOI
    10.1109/ICComm.2018.8430141
    ISBN
    9781538623503
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/71210
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 IEEE. Numerous adaptive feedback cancellation (AFC) algorithms are used in open-fitting and in-ear hearing aid devices (HADs) in order to avoid the possible annoying howling sounds. Recently, a hybrid AFC (H-AFC) scheme that shortened the recovering time from howling was proposed. It consists of a switched combination adaptive filter controlled by a stability detector that chooses either the standard normalized least mean squares (NLMS) algorithm or the prediction-error method (PEM) NLMS algorithm. In this paper a hybrid simplified Kalman filter (H -SKF) that uses a modified stability detector and a switch between NLMS and (PEM) SKF algorithms is proposed. It is shown that the proposed approach improves the convergence properties and shortens the howling periods for both speech and music signals compared with the hybrid NLMS (H-NLMS) algorithm.

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