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首页> 外文期刊>IEEE Transactions on Signal Processing >Genetic algorithm approach to fixed-order mixed H/sub 2//H/sub /spl infin// optimal deconvolution filter designs
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Genetic algorithm approach to fixed-order mixed H/sub 2//H/sub /spl infin// optimal deconvolution filter designs

机译:固定阶混合H / sub 2 // H / sub / spl infin //最优解卷积滤波器设计的遗传算法

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摘要

The mixed H/sub 2//H/sub /spl infin// optimal deconvolution filter is proposed to achieve the H/sub 2/ optimal reconstruction and a desired robustness against the effect of uncertainties in signal processing from the H/sub /spl infin// norm perspective. However, the conventional mixed H/sub 2//H/sub /spl infin// optimal design filters are very complicated and are not practical for industrial applications. For simplicity of implementation and conservation of operation time, the fixed-order mixed H/sub 2//H/sub /spl infin// optimal deconvolution filter design is interesting for engineers in signal processing from the practical design perspective. In this study, to avoid the trap of local minima, a design method based on the genetic algorithm is introduced to treat the nonlinear optimization design problem of the fixed-order mixed H/sub 2//H/sub /spl infin// deconvolution filter. The convergence property of our design algorithm is also discussed. Finally, an example is presented to illustrate the design procedure and confirm the robustness performance of the proposed method.
机译:提出了混合H / sub 2 // H / sub / spl infin //最佳去卷积滤波器,以实现H / sub 2 /最佳重构和针对来自H / sub / spl的信号处理不确定性影响的所需鲁棒性infin //规范角度。然而,常规的混合H / sub 2 // H / sub / spl infin //最佳设计滤波器非常复杂,并且不适用于工业应用。为了简化实现并节省操作时间,从实际设计的角度来看,信号处理中的工程师感兴趣的是固定阶混合H / sub 2 // H / sub / spl infin //最佳去卷积滤波器设计。为了避免局部极小值的陷入,本文引入了一种基于遗传算法的设计方法来处理固定阶混合H / sub 2 // H / sub / spl infin //去卷积的非线性优化设计问题。过滤。还讨论了我们设计算法的收敛性。最后,给出一个例子来说明设计过程并确认所提出方法的鲁棒性。

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