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Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, rate distortion, multi-user theory and hypothesis testing. It presents applications to communications, statistics, complexity theory, and investment. Chapters 1-9 cover the asymptotic equipartition property, data compression and channel capacity culminating in the capacity of the Gaussian channel. Chapters 10-17 include rate distortion, the method of types, Kolmogorov complexity, network information theory, universal source coding and portfolio theory. The first edition of this book is the most successful book on Information Theory on the market today. Adoptions have remained strong since the book's publication in 1991.
http://rapidshare.com/files/53715155/0471241954.zip
Elements of Information Theory, Second Edition, covers the standard topics of information theory, such as entropy, data compression, channel capacity, rate distortion, multi-user theory and hypothesis testing. It presents applications to communications, statistics, complexity theory, and investment. Chapters 1-9 cover the asymptotic equipartition property, data compression and channel capacity culminating in the capacity of the Gaussian channel. Chapters 10-17 include rate distortion, the method of types, Kolmogorov complexity, network information theory, universal source coding and portfolio theory. The first edition of this book is the most successful book on Information Theory on the market today. Adoptions have remained strong since the book's publication in 1991.
http://rapidshare.com/files/53715155/0471241954.zip
本书《信息论元素》第二版涵盖了信息论的标准主题,包括熵、数据压缩、信道容量等内容,并介绍了其在通信、统计等领域的应用。前9章主要探讨了渐近等分性质、数据压缩及信道容量,最终达到高斯信道的容量讨论。第10至17章则涉及率失真理论、类型方法、网络信息理论等。
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