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A Generalization of the Entropy Power Inequality with Applications to Linear Transformation of a White-Noise

机译:熵幂不等式的推广及其在白噪声线性变换中的应用

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摘要

We prove a generalization of the Entropy-Power Inequality, and of the Fisher-Information Inequality, to multi-dimensional linear transformation of a vector with independent components, and use this generalization in several applications.
机译:我们证明了熵-幂不等式和费舍尔信息不等式的推广,是具有独立成分的向量的多维线性变换,并在几种应用中使用了这种推广。

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