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Optimal Prototype Filters for Near-Perfect-Reconstruction Cosine-Modulated Filter Banks

机译:用于近乎完全重建的余弦调制滤波器银行的最佳原型过滤器

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In this paper, we propose a simple method for designing M-channel near-prefect-reconstruction (NPR) cosine-modulated filter banks (FBs). By employing the Parks-McClellan algorithm in constructing the prototype filter, an ideal magnitude response of the filter is achieved. Furthermore, the transition band of the prototype filter is constrained in such a way that it follows a cosine function. As a result, the FBs are approximately power complementary and therefore possess the NPR property. There are two main advantages in our proposed method. The first one is that no objective function in the optimization is explicitly required and the second one is that the resulting prototype filter is a global optimal solution. Compared with the traditional design method using general optimization methodology, the proposed method here is very simple and efficient. In addition, the stopband attenuation of the resulting FB is significantly higher than those offered by the traditional methods.
机译:在本文中,我们提出了一种简单的方法,用于设计M沟道近代重建(NPR)余弦调制滤波器组(FBS)。通过在构造原型滤波器时采用公园-Mcclellan算法,实现了滤波器的理想幅度响应。此外,原型滤波器的过渡带以使其遵循余弦函数的方式约束。结果,FBS近似功率互补,因此具有NPR性质。我们提出的方法中有两个主要优点。第一个是明确需要在优化中没有客观函数,并且第二个是由此产生的原型滤波器是全局最佳解决方案。与使用一般优化方法的传统设计方法相比,这里的建议方法非常简单富有高效。另外,所得FB的止挡衰减显着高于传统方法所提供的FB。

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