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    Item type:Publication,
    On approximation of linear gain equalizer by q-Bernstein-Stancu operators and Möbius transformation
    (2018-07-02)
    Chutchavong, V.
    ;
    Dokyam, T.
    ;
    Janchitrapongvej, K.
    ;
    Benjangkaprasert, C.
    This paper presents the design of linear gain equalizer by using Bernstein polynomials including q-Bernstein-Stancu operator and Möbius transformation. This method has the adjustable parameters more than the many types of Bernstein operators, these parameters can use to adjust the important characteristics of a linear gain equalizer for the best result. The simulation results show maximally flat magnitude, non-minimum linear phase and nearly constant delay for both of low-gain and high-gain equalizer. Furthermore, the Mikhailov's criterion has been used to guarantee the stability of desired transfer function.
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    Item type:Publication,
    A new method for design of the linear gain equalizer based on stancu’s including bernstein polynomials
    (2017-11-24)
    Chutchavong, V.
    ;
    Dokyam, T.
    ;
    Benjangkaprasert, C.
    ;
    Janchitrapongvej, K.
    This paper presents an approximation of transfer function for gain equalizer based on the Bernstein-Stancu polynomials operators, which used to equalize the linear gain distortion. As the well-known that the Bernstein-Stancu polynomials have an adjustable parameter more than the classical Bernstein polynomials, it can be used to adjust a response for the best result. As the result, the proposed method to design gain equalizer has a good performance both of low-gain distortion and high-gain distortion. In addition, the stability of desired transfer function is verified by using the Mikhailov’s criterion.