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The nonuniform discrete Fourier transform and its applications infilter design. I. 1-D

机译:非均匀离散傅里叶变换及其在滤波器设计中的应用。一维

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The nonuniform discrete Fourier transform (NDFT) of a sequence ofnlength N is defined as samples of its z-transform evaluated at Nndistinct points located arbitrarily on the z-plane. The NDFT reduces tonthe conventional discrete Fourier transform (DFT) when these points arenlocated on the unit circle at equally spaced angles. The flexibilitynoffered by the NDFT in choosing the sampling points leads to a variablenspectral resolution that can be controlled by the user. The NDFT isnapplied to nonuniform frequency sampling design of 1-D FIR filters. Thisnmethod produces nearly optimal equiripple 1-D filters with greatlynreduced design times as compared with the Parks-McClellan algorithm.nComparisons with filters designed by other methods are presented tondemonstrate the effectiveness of the proposed method
机译:长度为N的序列的非均匀离散傅里叶变换(NDFT)定义为在任意位于z平面上的Nndistinct点处评估的z变换的样本。当这些点以等间隔的角度分布在单位圆上时,NDFT会减少传统的离散傅里叶变换(DFT)。 NDFT在选择采样点时所具有的灵活性导致用户可以控制可变的n光谱分辨率。 NDFT应用于一维FIR滤波器的非均匀频率采样设计。与Parks-McClellan算法相比,该方法可产生几乎最佳的等波纹一维滤波器,且设计时间大大缩短。n与其他方法设计的滤波器进行了比较,证明了该方法的有效性

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