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A cumulant-based method for the direct estimation of the spatial Wiener filter

机译:一种基于累积量的空间维纳滤波器直接估计方法

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摘要

In this paper we propose a new algorithm for performing blind source separation and signal recovery for the narrowband case. This algorithm seeks to estimate and implement the Wiener filter directly, using the second- and fourth-order cumulants. The estimated filter is asymptotically consistent with or without noise, and is not subject to the bound imposed by pre-whitening as with some existing algorithms. In many cases it nearly achieves the clairvoyant Wiener limit as performance studies show. (C) 2006 Elsevier Inc. All rights reserved.
机译:在本文中,我们提出了一种用于窄带情况下执行盲源分离和信号恢复的新算法。该算法试图使用二阶和四阶累积量直接估计和实现维纳滤波器。估计的滤波器在有噪声或无噪声的情况下渐近一致,并且不像某些现有算法那样受到预白化的限制。性能研究表明,在许多情况下,它几乎达到了透视维纳极限。 (C)2006 Elsevier Inc.保留所有权利。

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