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Multi-Dimension Information Entropy Measure Model

机译:多维信息熵测度模型

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摘要

Because of traditional information entropy measure hard to descript quantitatively the fine distribution of signal sequences, and whose real-time is bad. Based on the energy distribution, set up the generalized form of information entropy distribution probability - component distribution probability, on the basis of which, set the energy information entropy measure model, and discuss the change and definition of its application properties. Through computing information measure and analyzing performance to the Logistic signal with different parameters, it is obvious that the energy information entropy measure has better performance analysis ability.
机译:由于传统的信息熵难以量化描述信号序列的精细分布,并且实时性差。在能量分布的基础上,建立信息熵分布概率-成分分布概率的广义形式,在此基础上建立能量信息熵测度模型,并讨论其应用性质的变化和定义。通过计算信息量度并分析不同参数对Logistic信号的性能,显然能量信息熵量度具有更好的性能分析能力。

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