Description: 本书内容由三部分组成。第一部分介绍信息论与信息科学的基本知识， 第二部分介绍 Shannon 信息论的基本内容,第三部分介绍信息论的应用。本书叙述力求通俗简练，较长的定理证明将通过指定参考书给出，各章附有习题与注解说明。对大型的练习，如无失真数据压缩编码、有失真图象压缩编码、调制编码及其他编码技术作者编制了若干个大型的练习试验，作为信息论理论教学的补充与尝试，有条件的学校可以开设。~..~-contents of the book consists of three parts. The first part gives information, and information of basic scientific knowledge, Shannon introduced the second part of the basic content of information theory, information theory on the third part of the application. The book describes concise seek popular, longer theorem proving, through the designated reference book is the chapter bearing exercises with explanatory comments. The practice of large, lossless data compression, distortion image compression coding, modulation and coding and other coding technology writer produced a number of large-scale exercise testing, information theory as a supplementary teaching the theory and experiments, qualified schools can open. ~ ~ .. Platform: |
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Author:孙荣超 |
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Description: 本书内容由三部分组成。第一部分介绍信息论与信息科学的基本知识， 第二部分介绍 Shannon 信息论的基本内容,第三部分介绍信息论的应用。本书叙述力求通俗简练，较长的定理证明将通过指定参考书给出，各章附有习题与注解说明。对大型的练习，如无失真数据压缩编码、有失真图象压缩编码、调制编码及其他编码技术作者编制了若干个大型的练习试验，作为信息论理论教学的补充与尝试，有条件的学校可以开设。~..~-contents of the book consists of three parts. The first part gives information, and information of basic scientific knowledge, Shannon introduced the second part of the basic content of information theory, information theory on the third part of the application. The book describes concise seek popular, longer theorem proving, through the designated reference book is the chapter bearing exercises with explanatory comments. The practice of large, lossless data compression, distortion image compression coding, modulation and coding and other coding technology writer produced a number of large-scale exercise testing, information theory as a supplementary teaching the theory and experiments, qualified schools can open. ~ ~ .. Platform: |
Size: 2768896 |
Author:孙荣超 |
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Description: The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication".
Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet.
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Author:jeremy |
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Description: 高通滤波器，带通滤波器，数字FIR滤波器-The Shannon entropy is a measure of the average information content one is missing when one does not know the value of the random variable. The concept was introduced by Claude E. Shannon in his 1948 paper "A Mathematical Theory of Communication".
Shannon s entropy represents an absolute limit on the best possible lossless compression of any communication, under certain constraints: treating messages to be encoded as a sequence of independent and identically-distributed random variables, Shannon s source coding theorem shows that, in the limit, the average length of the shortest possible representation to encode the messages in a given alphabet is their entropy divided by the logarithm of the number of symbols in the target alphabet.
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Size: 1024 |
Author:jeremy |
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Description: 用香农编码计算概率分布，信息论与编码实验内容。-The Shannon coding probability distribution, information theory and coding experiment content. Platform: |
Size: 5120 |
Author:李明 |
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Search - Shannon information content