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Complex Chebyshev approximation for IIR digital filters based on eigenvalue problem

机译:基于特征值问题的IIR数字滤波器的复杂Chebyshev逼近

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摘要

This paper presents an efficient method for designing complex infinite impulse response digital filters in the complex Chebyshev sense. The proposed method is based on the formulation of a generalized eigenvalue problem by using the Remez multiple exchange algorithm. Hence, the filter coefficients can be easily obtained by solving the eigenvalue problem to find the absolute minimum eigenvalue, and then the complex Chebyshev approximation is attained through a few iterations starting from a given initial guess. The proposed algorithm is computationally efficient because it not only retains the speed inherent in the Remez exchange algorithm but also simplifies the interpolation step. Some design examples are presented and compared with the conventional methods. It is shown that the results obtained by using the method proposed in this paper are better than those obtained by the conventional methods.
机译:本文提出了一种在复杂的切比雪夫意义上设计复杂的无限冲激响应数字滤波器的有效方法。所提出的方法是基于使用Remez多重交换算法制定的广义特征值问题。因此,可以通过求解特征值问题以找到绝对最小特征值来轻松获得滤波器系数,然后通过从给定初始猜测开始的几次迭代来获得复杂的切比雪夫近似值。所提出的算法在计算上是有效的,因为它不仅保留了Remez交换算法固有的速度,而且简化了插值步骤。给出了一些设计实例,并与常规方法进行了比较。结果表明,采用本文提出的方法所获得的结果要优于传统方法。

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