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基于符号信息量的离散信源特性分析
引用本文:麻信洛,吕金娜,张志军,葛长涛.基于符号信息量的离散信源特性分析[J].河南职业技术师范学院学报,2011(3):78-80,85.
作者姓名:麻信洛  吕金娜  张志军  葛长涛
作者单位:[1]空军工程大学,北京100195 [2]河南科技学院,河南新乡453003
摘    要:特定信源符号在整个通信过程中起到关键作用,针对信息论中描述的这些信源符号信息量的不足,采用自信息量与信源符号先验概率相结合的基本思想提出符号信息量概念.利用符号信息量来衡量特定信源符号在整个通信过程中所提供的信息量大小,同时给出了符号信息量的数学特征和物理意义,理论证明有效刻画了通信过程中特定信源的信息量.

关 键 词:信息论  先验概率  信源熵  信息量  数学特征

Analysis on characteristics of discrete source based on symbol information
Ma Xinluo,Lv Jinna,Zhang Zhijun,Ge Changtao.Analysis on characteristics of discrete source based on symbol information[J].Journal of Henan Vocation-Technical Teachers College,2011(3):78-80,85.
Authors:Ma Xinluo  Lv Jinna  Zhang Zhijun  Ge Changtao
Institution:1.Air Force Engineering University,Beijing 100195,China;2.Henan Institute of Science and Technology,Xinxiang 453003,China)
Abstract:For information theory the specific source symbols in the size of less than the amount of information provided in the communication process is not explicitly described,the concept of symbols information is introduced through basic idea of self-information value combining the prior probability of the source symbols in this paper.The size of information value provided was measured through symbols information in specific source symbols in the entire communication process.At the same time,physical meaning,the mathematical characteristics and their relationship with the source entropy of symbol information is given in information theory.Theoretically,it is proved that this method can effectively describe the information of the specific source in communication process.
Keywords:information theory  prior probability  information entropy  information quantity  mathematic features
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