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首页> 外文期刊>Journal of Electrical and Computer Engineering >Design of IIR Digital Filters with Arbitrary Flatness Using Iterative Quadratic Programming
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Design of IIR Digital Filters with Arbitrary Flatness Using Iterative Quadratic Programming

机译:利用迭代二次规划设计具有任意平坦度的IIR数字滤波器

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摘要

This paper presents a design method of Chebyshev-type and inverse-Chebyshev-type infinite impulse response (IIR) filters with an approximately linear phase response. In the design of Chebyshev-type filters, the flatness condition in the stopband is preincorporated into a transfer function, and an equiripple characteristic in the passband is achieved by iteratively solving the QP problem using the transfer function. In the design of inverse-Chebyshev-type filters, the flatness condition in the passband is added to the constraint of the QP problem as the linear matrix equality, and an equiripple characteristic in the stopband is realized by iteratively solving the QP problem. To guarantee the stability of the obtained filters, we apply the extended positive realness to the QP problem. As a result, the proposed method can design the filters with more high precision than the conventional methods. The effectiveness of the proposed design method is illustrated with some examples.
机译:本文提出了一种具有近似线性相位响应的Chebyshev型和Chebyshev型逆无限脉冲响应(IIR)滤波器的设计方法。在Chebyshev型滤波器的设计中,将阻带中的平坦度条件预先合并到传递函数中,并通过使用传递函数迭代地解决QP问题来实现通带中的等波纹特性。在逆切比雪夫型滤波器的设计中,通带的平坦度条件作为线性矩阵等式被添加到QP问题的约束中,并且通过迭代地解决QP问题来实现阻带的等波纹特性。为了保证获得的滤波器的稳定性,我们将扩展的正实性应用于QP问题。结果,所提出的方法可以比传统方法具有更高的精度设计滤波器。通过一些实例说明了所提出的设计方法的有效性。

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