Network Information Theory

商家名称	信用等级	购买信息	订购本书
		Network Information Theory
		Network Information Theory

This comprehensive treatment of network information theory and its applications provides the first unified coverage of both classical and recent results. With an approach that balances the introduction of new models and new coding techniques, readers are guided through Shannon's point-to-point information theory, single-hop networks, multihop networks, and extensions to distributed computing, secrecy, wireless communication, and networking. Elementary mathematical tools and techniques are used throughout, requiring only basic knowledge of probability, whilst unified proofs of coding theorems are based on a few simple lemmas, making the text accessible to newcomers. Key topics covered include successive cancellation and superposition coding, MIMO wireless communication, network coding, and cooperative relaying. Also covered are feedback and interactive communication, capacity approximations and scaling laws, and asynchronous and random access channels. This book is ideal for use in the classroom, for self-study, and as a reference for researchers and engineers in industry and academia.

网友对Network Information Theory的评论

The content of the book is great, comparable to Cover/Thomas but on modern comms problems rather than a grab bag of interdisciplinary topics. This book helped provide the necessary culture for my comms research.

It is one of the sloppiest prints I have ever seen. Glossy black ink smears and bleeds everywhere on the heavyweight but translucent onion-skin-like paper. Pages look like a heavily compressed jpeg. I feel like I am going blind when I read this. It is well bound though. What a bizarre issue.

The order of introduction of topics and the gradual development of tools in this book is fantastic. The authors have made a genuine effort to make the tricky ideas clear without sacrificing rigor, and they have been successful. They have also stressed common underlying ideas in proofs rather than just stating the proofs, which is quite illuminating. A simple description in words before the actual math helps a lot. The general look (font, figures etc.) is good too. A very valuable resource for information theorists!

Good book but tries to compress a lot of material in a book,..instead chapter 2 ( which is the heart of the book) could have been made along lines of csiszar and korner......the way entropy arises out of a simple hypothesis testing problem and type counting arguments are excellent over there, instead of randomly introducing entropy as some function.....I would recommend csiszar and korner for building backbone and then to cover some specific results of network information theory consult this book

It it a good introduction book on subject. Readers with background on probability theory can follow the content without difficulty. however, the subject itself is a bit dated, students who use it as a textbook do need to have a hard copy unless you decide to do research on this subject.

good

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