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Comments on '2-D FIR filters design using least square error with scaling-free McClellan transformation'

机译:关于“使用最小平方误差和无标度Mc克莱llan变换的2-D FIR滤波器设计”的评论

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For original paper see H.C.Lu and K.H.Yeh, ibid., vol.47, pp.1104-07 (2000). The idea of formulating the least-squares error along the desired contour in a quadratic form in the design of two-dimensional (2-D) zero-phase nonrecursive filters has been presented previously (S.S.Kidambi, 1995). Explicit formulas for the design of 2-D fan filters with prescribed inclination have also been presented. As claimed in the original paper, it has been shown that the error depends upon the value of the cut-off frequency of the prototype one-dimensional (1-D) filter and is lowest for a particular value of the 1-D filter cutoff frequency. In fact, the values of t(1, 1) and t(0, 1) presented is, for all practical purposes, the same as those presented by Kidambi. This method has also been extended to the design of circularly-symmetric filters, which the authors of the original paper have done as well. The application of the least-squares method in the design of elliptic filters is fairly straightforward, as has been indicated in the conclusion of the paper by Kidambi.
机译:对于原始论文,请参见H.C. Lu和K.H. Yeh,同上,第47卷,第1104-07页(2000)。先前已经提出了在二维(2-D)零相非递归滤波器的设计中沿期望轮廓以二次形式表示最小二乘误差的想法(S.S.Kidambi,1995)。还提出了具有规定倾斜度的二维风扇过滤器设计的明确公式。如原始论文所述,已经表明误差取决于原型一维(1-D)滤波器的截止频率值,并且对于一维滤波器截止值的特定值最低频率。实际上,出于所有实际目的,给出的t(1,1)和t(0,1)的值与Kidambi给出的值相同。该方法也已扩展到圆对称滤波器的设计,原始论文的作者也做了此设计。最小二乘法在椭圆滤波器的设计中的应用非常简单,正如Kidambi在论文的结论中所表明的那样。

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