Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (2): 86-88.

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Limit properties of entropy density of nonnegative continuous information source

WANG Xuewu1, ZHOU Xiangfeng2, WANG Tong3   

  1. 1.College of Mathematic and Information Science, Shandong Institute of Business and Technology, Yantai, Shandong 264005, China
    2.Department of Computer Foundation Teaching, Shandong Institute of Business and Technology, Yantai, Shandong 264005, China
    3.School of Information Science and Engineering, Guilin University of  Technology, Guilin, Guangxi 541004, China
  • Online:2013-01-15 Published:2013-01-16

非负连续信源熵密度的极限性质

王学武1,周翔凤2,王  桐3   

  1. 1.山东工商学院 数学与信息科学学院,山东 烟台 264005
    2.山东工商学院 计算机基础教学部,山东 烟台 264005
    3.桂林理工大学 信息科学与工程学院,广西 桂林 541004

Abstract: By using analysis methods and the approach of Laplace transform, it studies limit properties of the entropy density of nonnegative continuous information source by using the concept of the entropy density deviation. The results modify that of Zhang Jing and Wei Jie.

Key words: entropy density, entropy density deviation, Shannon-McMillan theorem, Laplace transform, information source

摘要: 应用分析方法和Laplace变换,利用熵密度偏差的概念,研究了任意非负连续信源熵密度的极限性质,修正了赵静和魏杰所做的结果。

关键词: 熵密度, 熵密度偏差, Shannon-McMillan定理, Laplace变换, 信源