Shannon information theory

Shannon Information Theory and Multiple User Information Theory

Shannon信息论与多用户信息论

Shannon Information Theory and Its New Developments

Shannon信息论及其新发展

Based on the Shannon information theory , traditional source compression coding and channel error correction coding methods are introduced .

本文在香农信息论的基础上，介绍了传统的信源压缩编码方法和信道纠错编码方法。

Eventually , an image compression technique which can exceed the limitation of Shannon information theory is realized .

进而实现了一种在码率上超越香农信息论限制的图像压缩技术。

A new Uncertainty Band of Error Entropy ( H-band ) is brought up using Shannon information theory .

本文从信息论的基本理论出发，通过熵的极值定理和引入误差熵的概念，首次提出了误差熵不确定带模型。

Some new developments for Shannon information theory and multiple user information theory are surveyed . Many network communication models and their coding problems are presented .

本文综述了Shannon信息论和多用户信息论的某些新进展，介绍了多种网络通信模型及其编码问题。

At the same time , due to the limitations of Shannon information theory , it is difficult to improve capacity for traditional wireless communication systems .

与此同时，传统无线通信系统由于受到香农信息理论的限制很难有效提高系统容量。

That is to develop the waveform coding technique by applying Shannon information theory and signal processing principles so as to improve the performance of prediction coding , transform coding and entropy coding .

一个是纵向发展，即应用Shannon信息论和信号处理理论发展波形编码技术，进一步挖掘预测、变换、熵编码的潜力；

Based on the Shannon information theory and the phase-spacing embedding method , information transport rate was adopted to investigate the dependence between the three different parameters ( differential pressure , pressure fluctuation and particle concentration ) from a fluidized bed in a phase-space .

在Shannon信息理论的基础上，应用信息传输率在相空间中关联压差、压力及光纤颗粒浓度三种不同传感器测量的信号。

Using rough-fuzzy entropy to measure the uncertainty of RF set in the theory of rough set is much more intuitional . Therefore it is worthy of investigation of how the Shannon information theory is used to define the measurement of the entropy of rough-fuzzy set .

在粗糙集理论中，由于用模糊粗糙熵去度量RF集的不确定性更具有直观性，所以如何利用香农信息熵理论定义模糊粗糙集的熵的度量，是一个值得研究的问题。

The Expression to Evaluation Index of Documentary Information Retrieval System by Means of Shannon 's Information Theory

用申农信息论表述文献信息检索系统的评价指标

Shannon 's information theory was also applied to the SPECT imaging field . The physics was evaluated to analyze the conditional entropy and the mutual information .

将Shannon信息论应用到SPECT成像领域，根据在SPECT系统中信息量、条件熵、互信息熵的意义，提出了评估投影数据完备性的原理和方法。

In this paper , we have proved that the sequence of entropy density of the shannon 's information theory is uniformly integrable , and given a limit theorem of entropy density of finite homogenous Markov chain .

本文证明了shannon信息论中的熵密度序列是一致可积的，并给出了有限齐次马氏链熵密度的一个极限定理。

On the basis of channel capacity and shannon limit of information theory , we introduce the Turbo codes which obtain the near capacity performance .

本论文在信息论的信道容量及香农编码理论的基础上，引入了接近香农理论极限的信道编码Turbo码。

Since Shannon proposed the information theory , modern cryptography refer in particular to transmission of information and its mathematical research , which is often considered as a branch of mathematics , computer science and information theory .

自香农创建信息论以来，现代密码学特别指对信息以及其传输的数学性研究，常被认为是数学和计算机科学的分支，和信息论也密切相关。

Supposing , Eve launches photon-number-splitting ( PNS ) attack on multiphoton signals , and optimal attack ( OA ) on single-photon signals , adopting Shannon ′ s information theory to analyze the security of the practical QKD system based on weak coherent light .

采用对多光子进行分束窃听、单光子最佳攻击相结合的方案，用Shannon信息理论分析了基于弱相干光的实际QKD系统的安全性。

Genotypic entropy and phenotypic entropy of populations have been expressed by using Shannon 's formula in information theory .

本文应用信息论中的Shannon公式表述了群体的基因型熵和表型熵。