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作者梁建武 著
出版社水利水电出版社
ISBN9787508455693
出版时间2008-07
装帧平装
定价24元
货号9787508455693
上书时间2024-10-12
基本信息
书名:Information Theory Coding信息论与编码/21世纪高等院校规划教材
定价:24.00元
作者:梁建武
著
出版社:水利水电出版社
出版日期:2008-07
ISBN:9787508455693
字数:323千字
页码:196
版次:1
装帧:平装
开本:16开
商品标识:9787508455693
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编辑推荐
《InformationTheory&Coding信息论与编码》提供电子教案、案例素材等教学资源,教材立体化配套,满足高等院校应用型人才培养的需要。重点介绍经典信息论的基本理论,并力图将信息论的基本理论和工程应用的编码理论联系起来,介绍一些关于这些理论的实际应用。全书分为7章,内容包括信息度量的基本理论、无失真信源编码、限失真信源编码、信道编码及其应用等。本书注重基本概念,并且用通俗易懂的语言对它们加以诠释。在当前信息、通信系统飞速发展的大背景下,本书力图用较多的例子和图表来阐述概念和理论,同时尽量避免纠缠于烦琐难懂的公式证明之中。为了加深读者对所讲述知识的理解,每章最后都配有适量的练习题供读者选用。本书可作为高等院校电子信息类学生双语教学的教材或参考书,也可作为通信、电信、电子等领域从业人员的参考资料。
内容提要
目录
Chapter1Introduction
Contents
Beforeitstarts,thereissomethingmustbeknown
1.1WhatisInformation
1.2WhatsInformationTheory?
1.2.1OriginandDevelopmentofInformationTheory
1.2.2TheapplicationandachievementofInformationTheorymethods
1.3FormationandDevelopmentofInformationTheory
QuestionsandExercises
BiographyofClaudeElwoodShannon
Chapter2BasicConceptsofInformationTheory
Contents
Preparationknowledge
2.1Self-informationandconditionalself-information
2.1.1Self-Information
2.1.2ConditionalSelf-Information
2.2Mutualinformationandconditionalmutualinformation
2.3Sourceentropy
2.3.1Introductionofentropy
2.3.2Mathematicsdescriptionofsourceentropy
2.3.3Conditionalentropy
2.3.4Unionentropy(Communalentropy)
2.3.5Basicnatureandtheoremofsourceentropy
2.4Averagemutualinformation
2.4.1Definition
2.4.2Physicssignificanceofaveragemutualinformation
2.4.3Propertiesofaveragemutualinformation
2.5Continuoussource
2.5.1Entropyofthecontinuoussource(alsocalleddifferentialentropy)
2.5.2Mutualinformationofthecontinuousrandomvariable
QuestionsandExercises
Additionalreadingmaterials
Chapter3DiscreteSourceInformation
Contents
3.1Mathematicalmodelandclassificationofthesource
3.2Thediscretesourcewithoutmemory
3.3Multi-marksdiscretesteadysource
3.4Sourceentropyofdiscrete
3.5Thesourceredundancyandtheinformationdifference
3.6Markovinformationsource
Chapter4ChannelandChannelCapacity
Contents
4.1Themodelandclassificationofthechannel
4.1.1ChannelModels
4.1.2Channelclassifications
4.2Channeldoubtdegreeandaveragemutualinformantion
4.2.1Channeldoubtdegree
4.2.2Averagemutualinformation
4.2.3Propertiesofmutualinformationfunction
4.2.4Relationshipbetweenentropy,channeldoubtdegreeandmutualinformation
4.3Thediscretechannelwithoutmemoryanditschannelcapacity
4.4Channelcapacity
4.4.1Conceptofchannelcapacity
4.4.2Discretechannelwithoutmemoryanditschannelcapacity
4.4.3Continuouschannelanditschannelcapacity
Chapter5kosslesssourcecoding
Contents
5.1Losslesscoder
5.2Losslesssourcecoding
5.2.1Fixedlengthcodingtheorem
5.2.2Unfixedlengthsourcecoding
5.3Losslesssourcecodingtheorems
5.3.1Classificationofcodeandmaincodingmethod
5.3.2Krafttheorem
5.3.3Losslessunfixedsourcecodingtheorem(ShannonFirsttheorem)
5.4Pragmaticexamplesoflosslesssourcecoding
5.4.1Huffmancoding
5.4.2ShannoncodingandFanocoding
5.5TheLempel-zivalgorithm
5.6Run-LengthEncodingandthePCXformat
QuestionsandExercises
Chapter6Limiteddistortionsourcecoding
Contents
6.1Thestartpointoflimitdistortiontheory
6.2Distortionmeasurement
6.2.1Distortionfunction
6.2.2Averagedistortion
6.3Informationratedistortionfunction
6.4PropertyofR(D)
6.4.1MinimumofDandR(D)
6.4.2DmaxandR(Dmax)
6.4.3TheunderconvexfunctionofR(D)
6.4.4ThedecreasingfuntionofR(D)
6.4.5R(D)isacontinuousfunctionofD
6.5CalculationofR(D)
6.6Limiteddistortionsourceencodingtheorem
Additionalmaterialforthischapter
Questionsandexercises
Chapter7ChannelCodingTheory
Questionsandexercises
Bibliography
作者介绍
文摘
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