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Optimal design of digital equivalents to analog filters

机译:与模拟滤波器等效的数字优化设计

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The proposed optimal algorithm for the digitizing of analog filters is based on two existing filter design methods: the extended window design (EWD) and the matched-pole (MP) frequency sampling design. The latter is closely related to the filter design with iterative weighted least squares (WLS). The optimization is performed with an original MP design that yields an equiripple digitizing error. Then, a drastic reduction of the digitizing error is achieved through the introduction of a fractional time shift that minimizes the magnitude of the equiripple error within a given frequency interval. The optimal parameters thus obtained can be used to generate the EWD equations, together with a variable fractional delay output, as described in an earlier paper. Finally, in contrast to the WLS procedure, which relies on a “good guess” of the weighting function, the MP optimization is straightforward.
机译:拟议的用于模拟滤波器数字化的最佳算法基于现有的两种滤波器设计方法:扩展窗口设计(EWD)和匹配极点(MP)频率采样设计。后者与具有迭代加权最小二乘(WLS)的滤波器设计紧密相关。优化是通过原始MP设计执行的,该设计会产生等波纹的数字化误差。然后,通过引入分数时间偏移来最大程度地降低数字化误差,该分数时间偏移将给定频率间隔内的等波纹误差的幅度最小化。如此获得的最佳参数可用于生成EWD方程,以及可变的分数延迟输出,如先前论文中所述。最后,与依赖于加权函数的“良好猜测”的WLS过程相反,MP优化是简单明了的。

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