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    Global optimal design of IIR filters via constraint transcription and filled function methods

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    Fulltext not available
    Authors
    Ling, B.
    Wu, C.
    Teo, Kok Lay
    Rehbock, Volker
    Date
    2013
    Type
    Journal Article
    
    Metadata
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    Citation
    Ling, B.W.K. and Wu, C.Z, and Teo, K.L. and Rehbock, V. 2013. Global optimal design of IIR filters via constraint transcription and filled function methods. Circuits, Systems and Signal Processing. 32 (3): pp. 1313-1334
    Source Title
    Circuits, Systems and Signal Processing
    DOI
    10.1007/s00034-012-9511-1
    ISSN
    0278-081X
    URI
    http://hdl.handle.net/20.500.11937/24066
    Collection
    • Curtin Research Publications
    Abstract

    In this paper, we consider a globally optimal design of IIR filters. We formulate the design problem as a nonconvex optimization problem with a continuous inequality constraint and a nonconvex constraint. To solve this problem, the constraint transcription method is applied to tackle the continuous inequality constraint. In order to avoid the obtained solution being on the boundary of the feasible set, more than one initial points are used. Moreover, since the objective and the constraints are nonconvex functions, there may be many local minima. To address this problem, the filled function method is applied to escape from the local minima. Some numerical computer simulation results are presented to illustrate the effectiveness and efficiency of the proposed method.

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