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An analytical approach for the synthesis of two-dimensional state-space filter structures with minimum weighted sensitivity

机译:具有最小加权灵敏度的二维状态空间滤波器结构合成的分析方法

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This paper considers the problem of synthesizing the finite-word-length (FWL) two-dimensional (2-D) state-space filter structures with minimum weighted sensitivity. Two kinds of frequency-weighted sensitivity measures, one based on a mixture of L/sub 1//L/sub 2/ norms and the other a pure L/sub 2/ norm, are defined in place of the usual sensitivity measure and an upper bound expressed in terms of 2D weighted Gramians is used to evaluate the weighted L/sub 1//L/sub 2/ mixed sensitivity. A simple technique is then developed for obtaining a set of filter structures with very low weighted L/sub 1//L/sub 2/-sensitivity. In this connection, the optimal coordinate transformation is characterized in a closed form. Next, an iterative procedure is proposed to obtain the optimal coordinate transformation that minimizes the weighted L sensitivity measure. Once the initial value is given, the estimate at each iteration can be calculated analytically. Finally, two numerical examples are given to illustrate the utility of the proposed technique.
机译:本文考虑了合成具有最小加权灵敏度的有限字长(FWL)二维(2-D)状态空间滤波器结构的问题。定义了两种频率加权灵敏度度量,一种基于L / sub 1 // L / sub 2 /规范的混合,另一种是纯L / sub 2 /规范,代替了通常的灵敏度度量和以2D加权Gramians表示的上限用于评估加权L / sub 1 // L / sub 2 /混合灵敏度。然后开发一种简单的技术来获得一组具有非常低的加权L / sub 1 // L / sub 2 /灵敏度的滤波器结构。就此而言,最佳坐标变换以封闭形式表征。接下来,提出了一个迭代过程来获得使加权L灵敏度度量最小化的最佳坐标变换。一旦给出初始值,就可以解析地计算每次迭代的估计值。最后,给出了两个数值示例来说明所提出技术的实用性。

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