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Numerically stable fast recursive least-squares transversal filters

机译:数值稳定的快速递归最小二乘横向滤波器

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The problem of numerical stability of fast recursive least-squares transversal filter (FTF) algorithms is addressed. The prewindowing case with exponential weighting is considered. A framework for the analysis of the error propagation in these algorithms is developed. Within this framework, it is shown that the computationally most efficient 7N form (dealt with by G. Carayanmis et al. (1983) and by J.M. Cioffi (1984)) is exponentially unstable. By introducing redundancy in this algorithm, feedback of numerical errors becomes possible. This leads to a numerically stable FTF algorithm with complexity 9N. The results are presented for the complex multichannel joint-process filtering problem.
机译:解决了快速递归最小二乘横向滤波器(FTF)算法的数值稳定性问题。考虑具有指数加权的预窗口情况。开发了用于分析这些算法中的错误传播的框架。在此框架内,证明了计算上最有效的7N形式(G. Carayanmis等人(1983年)和J.M. Cioffi(1984年)处理)是指数不稳定的。通过在该算法中引入冗余,可以反馈数值误差。这导致了数值稳定的FTF算法,其复杂度为9N。给出了针对复杂的多通道联合过程过滤问题的结果。

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