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Cramer-Rao Bound for Circular and Noncircular Complex Independent Component Analysis

机译:Cramer-Rao Bound 用于循环和非循环复数独立成分分析

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摘要

Despite an increased interest in complex independent component analysis (ICA) during the last two decades, a closed form expression for the Cramer-Rao bound (CRB) for the demixing matrix is not known yet. In this paper, we fill this gap by deriving a closed-form expression for the CRB of the demixing matrix for instantaneous noncircular complex ICA. It contains the CRB for circular complex ICA and noncircular complex Gaussian ICA as two special cases. We also study the CRB numerically for the family of noncircular complex generalized Gaussian distributions and compare it to simulation results of two ICA estimators. Furthermore, we show how to extend the CRB to the case where the source signals are not temporally independent and identically distributed.
机译:尽管在过去二十年中,人们对复杂独立组分分析 (ICA) 的兴趣日益浓厚,但尚不清楚用于解混基质的 Cramer-Rao 束缚 (CRB) 的闭式表达式。在本文中,我们通过推导瞬时非圆形复合物ICA的解混矩阵CRB的闭式表达式来填补这一空白。它包含用于圆形复数 ICA 和非圆形复数高斯 ICA 的 CRB 作为两种特殊情况。我们还对非圆复广义高斯分布族的CRB进行了数值研究,并将其与两个ICA估计器的仿真结果进行了比较。此外,我们还展示了如何将 CRB 扩展到源信号在时间上不独立且分布相同的情况。

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