关于复随机向量的最大熵定理

International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications Pub Date : 2004-01-01 DOI:10.1109/ISIT.2004.1365078

G. Tauböck

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摘要

本文研究了复随机向量的一些重要性质。我们发展了一个基于协方差和伪协方差矩阵概念的理论，以证明复杂多元情况下最大熵定理的一个更强的版本(F.D. Neeser et al. 1993)。

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On the maximum entropy theorem for complex random vectors

This paper considers the complex random vectors and study some important properties. We develop a theory which is based on the concept of covariance and pseudo-covariance matrix in order to prove a stronger version of the maximum entropy theorem for the complex multivariate case (F.D. Neeser et al. 1993).

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International Symposium on Information Theory and its Applications. International Symposium on Information Theory and its Applications

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