子空间序列估计

M. Tinston, Y. Ephraim
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引用次数: 0

摘要

最近在子空间滤波和估计理论方面的工作,例如Goldstein等人的多级维纳滤波器(Multistage Wiener Filter, MWF),主要集中在有限维滤波的情况下。虽然这是更实际的情况,因为它可以在通用计算机中实现,但它留下了无限维情况下子空间滤波器行为的理论问题。在这项工作中,我们开始开发一个因果无限维滤波器,它在类似于MWF的子空间中工作,其性能接近使用该子空间的因果维纳滤波器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Subspace Sequence Estimation
Recent work in the theory of subspace filtering and estimation, for example the Multistage Wiener Filter (MWF) of Goldstein et. al., has focused primarily on the case of finite dimension filtering. While this is the more practical case, as it can be implemented in a general purpose computer, it has left open the theoretical question of the behavior of subspace filters in the infinite dimension case. In this work we begin develop a causal infinite dimensional filter that operates in a subspace similar to that of the MWF and whose performance approaches that of the causal Wiener Filter using this subspace.
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