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    Maximum a posteriori adjustment of adaptive transversal filters in active noise control

    Ardekani, Iman; Zhang, X.; Sharifzadeh, Hamid; Kaipio, J.

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    APSIPA2017.pdf (746.8Kb)
    Date
    2017-12
    Citation:
    Ardekani, I. T., Zhang, X., Sharifzadeh, H., & Kaipio, J. (2017, December). Maximum a posteriori adjustment of adaptive transversal filters in active noise control. APSIPA (Ed.), Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA 2017) 1, 1-6 pp.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/4134
    Abstract
    This paper develops a novel approach to adaptive active noise control based on the theory of Bayesian estimation. Control system parameters are considered as statistical variables and a formulation for the joint probability density function of them is derived. An optimal solution for the system parameters is then calculated through maximizing the density function. An efficient adaptive algorithm for iterative calculation of the optimal parameters is proposed. It is shown that the well known FxLMS algorithm can be derived as a special case of the proposed algorithm, where the noise to be canceled is a white Gaussian process. Simulation results verify the preference of the proposed system to the traditional active noise control systems in terms of steady-state performance and convergence rate. It is also shown that the preference of the proposed system is much more evident when the noise to be canceled is not white. Finally, a successful implementation of the proposed system in an experimental acoustic duct is reported.
    Keywords:
    FxLMS algorithm, active noise control (ANC), noise control, white Gaussian process, white noise, pink noise, ANC
    ANZSRC Field of Research:
    091301 Acoustics and Noise Control (excl. Architectural Acoustics)

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    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use. These documents or images may be used for research or private study purposes. Whether they can be used for any other purpose depends upon the Copyright Notice above. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Conference Papers [149]

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