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Exact and first-order error analysis of the Schur and split Schur algorithms: theory and practice

机译:Schur和拆分Schur算法的精确和一阶误差分析:理论与实践

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摘要

A new analytical methodology is introduced here for fixed-point error analysis of various Toeplitz solving algorithms. The method is applied to the very useful Schur algorithm and the lately introduced split Schur (1918, 1986) algorithm. Both exact and first order error analysis are provided in this paper. The theoretical results obtained are consistent with experimentation. Besides the intrinsic symmetry of the error propagation recursive formulae, the technique presented here is capable of explaining many practical situations. For signals having a small eigenvalue spread the Schur algorithm behaves better than the split Schur in the fixed-point environment. The intermediate coefficients of the split Schur algorithm leading to the PARCOR's cannot serve as alternatives to the reflection coefficients in error sensitive applications. It is demonstrated that the error-weight vectors of the Schur propagation mechanism follow Levinson-like (second order) recursions, while the same vectors of the split Schur propagation mechanism follow split Levinson-like (third-order) recursions.
机译:这里介绍了一种新的分析方法,用于各种Toeplitz求解算法的定点误差分析。该方法适用于非常有用的Schur算法和最近推出的split Schur(1918,1986)算法。本文提供了精确和一阶误差分析。所得理论结果与实验结果吻合。除了误差传播递归公式的内在对称性之外,此处介绍的技术还可以解释许多实际情况。对于特征值扩展较小的信号,在定点环境中,Schur算法的性能优于拆分的Schur。导致PARCOR的分割Schur算法的中间系数不能用作对误差敏感的应用程序中反射系数的替代方案。证明了Schur传播机制的误差权重向量遵循Levinson类(二阶)递归,而分裂Schur传播机制的相同向量遵循类Levinson类(三阶)递归。

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