Roundoff noise (RN) is known to exist in digital filters and systems under finite-precision operations and can become a critical factor for severe performance degradation in IIR filters and systems. Two classes of methods are available for RN reduction or minimization - one uses state-space coordinate transformation, the other uses error feedback of state variables. In this paper, we propose a method for the joint optimization of error feedback and state-space realization. It is shown that the problem at hand can be solved in an unconstrained optimization setting. With a closed-form formula for gradient evaluation and an efficient quasi-Newton solver, the unconstrained minimization problem can be solved efficiently.


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    Titel :

    Jointly optimized error-feedback and realization for roundoff noise minimization in state-space digital filters


    Beteiligte:
    Wu-Sheng Lu, (Autor:in) / Hinamoto, T. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    367566 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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