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Approximation of linear gain slope equalizer using Bernstein-Stancu polynomials
Author(s)
Date Issued
February 8, 2017
Type
Conference Paper
Abstract
This paper presents a design of linear gain slope equalizer for correcting the linear gain distortion. It is based on the Bernstein-Stancu polynomials, where the well-known and readily available approximated of the desired transfer function are applied. As it is known that the Bernstein-Stancu polynomials have the several advantages. For example, there is a flexible parameter as a that can be used to adjust the magnitude response for the best result. If the parameter a equals to zero, it becomes to the classical Bernstein polynomial. In addition, the phase response is linear. As the results, the proposed method is capable of designing linear gain slope equalizer which is also shown to be efficient performance without degrading its phase characteristics. The stability of the approximated of the transfer function can guarantee with Mihailov's criterion.
Citation
IEEE Region 10 Annual International Conference Proceedings TENCON, 3344-3348, 2017