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Comments on 'A weighted least-squares method for the design of stable 1-D and 2-D IIR digital filters' [and reply]

机译:关于“用于设计稳定的一维和二维IIR数字滤波器的加权最小二乘法”的评论[和回复]

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For original paper by Lu et al. see IEEE Trans. Signal Processing, vol.46, p.1-10 (1998 January). The iterative procedure by Lu et al. for designing IIR filters is recognized as the Sanathanan-Koerner or Steiglitz-McBride iteration, which was proposed originally in 1963 and 1965, respectively, for system identification purposes. We re-examine some claims and issues related to Lu et al.'s paper in view of various properties that have been deduced for the Steiglitz-McBride iteration in the identification literature. In particular, the Steiglitz-McBride procedure is known not to minimize a least-squares distance measure, contrary to Lu et al.'s claim. It can, however, provide good models and remain stable during successive iterations under specific conditions which are reviewed. A reply is given by Lu et al.
机译:对于Lu等人的原创论文。参见IEEE Trans。信号处理,第46卷,第1-10页(1998年1月)。 Lu等人的迭代过程。用于设计IIR滤波器的方法被认为是Sanathanan-Koerner或Steiglitz-McBride迭代,其最初分别于1963年和1965年提出,用于系统识别。鉴于鉴定文献中Steiglitz-McBride迭代的各种性质,我们重新审查了与Lu等人论文有关的一些主张和问题。特别是,与Lu等人的主张相反,已知Steiglitz-McBride过程不会最小化最小二乘距离度量。但是,它可以提供良好的模型,并且可以在特定条件下(在已审查的情况下)进行连续迭代期间保持稳定。 Lu等人给出了答复。

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