Robert M. Gray - Entropy and Information Theory

Robert M. Gray - Entropy and Information Theory

ID:34548799

大小:1.94 MB

页数:430页

时间:2019-03-07

Robert M. Gray - Entropy and Information Theory_第1页
Robert M. Gray - Entropy and Information Theory_第2页
Robert M. Gray - Entropy and Information Theory_第3页
Robert M. Gray - Entropy and Information Theory_第4页
Robert M. Gray - Entropy and Information Theory_第5页
资源描述:

《Robert M. Gray - Entropy and Information Theory》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库

1、EEEEntropyandInformationTheoryRobertM.GrayEntropyandInformationTheorySecondEditionRobertM.GrayDepartmentofElectricalEngineeringStanfordUniversityStanford,CA94305-9510USArmgray@stanford.eduISBN978-1-4419-7969-8e-ISBN978-1-4419-7970-4DOI10.1007/978-1-4419-7970-4SpringerNewYorkDordrechtHeid

2、elbergLondonLibraryofCongressControlNumber:2011920808©SpringerScience+BusinessMedia,LLC2011Allrightsreserved.Thisworkmaynotbetranslatedorcopiedinwholeorinpartwithoutthewrittenpermissionofthepublisher(SpringerScience+BusinessMedia,LLC,233SpringStreet,NewYork,NY10013,USA),exceptforbriefexc

3、erptsinconnectionwithreviewsorscholarlyanalysis.Useinconnectionwithanyformofinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodologynowknownorhereafterdevelopedisforbidden.Theuseinthispublicationoftradenames,trademarks,servicemarks,andsimila

4、rterms,eveniftheyarenotidentiÞedassuch,isnottobetakenasanexpressionofopinionastowhetherornottheyaresubjecttoproprietaryrights.Printedonacid-freepaperSpringerispartofSpringerScience+BusinessMedia(www.springer.com)toTim,Lori,Julia,Peter,Gus,Amy,andAliceandinmemoryofTinoPrefaceThisbookisdev

5、otedtothetheoryofprobabilisticinformationmeasuresandtheirapplicationtocodingtheoremsforinformationsourcesandnoisychannels,withastrongemphasisonsourcecodingandstationarycodes.TheeventualgoalisageneraldevelopmentofShannon’smathe-maticaltheoryofcommunicationforsingleusersystems,butmuchofthe

6、spaceisdevotedtothetoolsandmethodsrequiredtoprovetheShannoncodingtheorems,especiallythenotionsofsources,channels,codes,entropy,information,andtheentropyergodictheorem.Thesetoolsformanareacommontoergodictheoryandinformationtheoryandcompriseseveralquantitativenotionsoftheinformationinran-d

7、omvariables,randomprocesses,anddynamicalsystems.Examplesareentropy,mutualinformation,conditionalentropy,conditionalinforma-tion,andrelativeentropy(discrimination,Kullback-Leiblerinformation,informationaldivergence),alongwiththelimitingnormalizedversionsofthesequantitiessu

当前文档最多预览五页,下载文档查看全文

此文档下载收益归作者所有

当前文档最多预览五页,下载文档查看全文
温馨提示:
1. 部分包含数学公式或PPT动画的文件,查看预览时可能会显示错乱或异常,文件下载后无此问题,请放心下载。
2. 本文档由用户上传,版权归属用户,天天文库负责整理代发布。如果您对本文档版权有争议请及时联系客服。
3. 下载前请仔细阅读文档内容,确认文档内容符合您的需求后进行下载,若出现内容与标题不符可向本站投诉处理。
4. 下载文档时可能由于网络波动等原因无法下载或下载错误,付费完成后未能成功下载的用户请联系客服处理。