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Realization with minimal weighted pole and zero sensitivity subject to ℓ2-scaling constraints for recursive digital filters

机译:递归数字滤波器的极小加权极点和零灵敏度在ℓ2缩放约束下实现

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This paper deals with the problem of minimizing weighted pole and zero sensitivity subject to l2-scaling constraints for state-space digital filters. A measure for pole and zero sensitivity is presented and an efficient iterative technique for minimizing this measure subject to l2-scaling constraints is developed by relaxing the constraints into a single constraint on matrix trace and solving the relaxed problem with an effective matrix iteration scheme. A numerical example is included to demonstrate the validity and effectiveness of the proposed technique.
机译:本文针对状态空间数字滤波器的12标度约束,解决了最小化加权极点和零灵敏度的问题。提出了极点和零灵敏度的度量,并通过将约束放宽为矩阵迹线的单个约束,并通过有效的矩阵迭代方案来解决松弛问题,从而开发出一种有效的迭代技术,可将这种度量最小化为l2缩放约束。包括一个数值示例,以证明所提出技术的有效性和有效性。

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