《解码宇宙:新信息科学看天地万物》：宇宙，或许就是一台庞大的计算机。这是查尔斯·塞费在《解码宇宙:新信息科学看天地万物》中对宇宙做出的结论。作者从信息的特点开始谈起，详细论述了信息论和量子计算，向我们展示了一种不可思议的拜占庭式宇宙的情景，涉及生命的本质、热力学、相对论、量子力学、黑洞、多重宇宙，直至宇宙的命运。《解码宇宙:新信息科学看天地万物》资料翔实，内容丰富多彩，思路清晰，观点明确，读后使人对宇宙肃然起敬。对物理学感兴趣的读者，不妨展卷一读。

《信息论:基础理论与应用》(第2版)系统地论述了香农信息论基本理论及某些应用问题，基本覆盖了信息论的各个方面的内容。内容包括：信息的定义和度量；各类离散信源和连续信源的信息熵；有记忆，无记忆，离散和连续信道的信道容量；香农信息论的三个基本定理：无失真数据压缩（即无失真信源编码）的实用编码算法与方法，以及信道纠错编码的基本内容和分析方法。《信息论:基础理论与应用》(第2版)最后还简要地介绍了信息论与热力学，光学，统计学，生物学，和医学等其他学科交叉结合的应用内容。

李明和Vitanyi的早期著作，描述复杂性入门的经典书。难能可贵的是，复旦大学的程岐把这本书翻译成了中文。

The latest edition of this classic is updated with new problem sets and material The Second Edition of this fundamental textbook maintains the book's tradition of clear, thought-provoking instruction. Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory. All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points. The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated references Now current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

《国际知名大学原版教材•信息论基础》系统介绍了信息论基本原理及其在通信理论、统计学、计算机科学、概率论以及投资理论等领域的应用。作者以循序渐进的方式，介绍了信息量的基本定义、相对熵、互信息以及他们如何自然地用来解决数据压缩、信道容量、信息率失真、统计假设、网络信息流等问题。

James Gleick, the author of the bestsellers Chaos and Genius , brings us his crowning work: a revelatory chronicle that shows how information has become the modern era’s defining quality—the blood, the fuel, the vital principle of our world. The story of information begins in a time profoundly unlike our own, when every thought and utterance vanished as soon as it was born. From the invention of scripts and alphabets to the long misunderstood “talking drums” of Africa, James Gleick tells the story of information technologies that changed the very nature of human consciousness. He provides portraits of the key figures contributing to the inexorable development of our modern understanding of information: Charles Babbage, the idiosyncratic inventor of the first great mechanical computer; Ada Byron, the poet’s brilliant and doomed daughter, who became the first true programmer; pivotal figures like Samuel Morse and Alan Turing; and Claude Shannon, the creator of information theory itself. And then the information age comes upon us. Citizens of this world become experts willy-nilly: aficionados of bits and bytes. And they sometimes feel they are drowning, swept by a deluge of signs and signals, news and images, blogs and tweets. The Information is the story of how we got here and where we are heading. It will transform readers’ view of its subject.

本书是英国剑桥大学卡文迪许实验室的著名学者David J．C．MacKay博士总结多年教学经验和科研成果，于2003年推出的一部力作。本书作者不仅透彻地论述了传统信息论的内容和最新编码算法，而且以高度的学科驾驭能力，匠心独具地在一个统一框架下讨论了贝叶斯数据建模、蒙特卡罗方法、聚类算法、神经网络等属于机器学习和推理领域的主题，从而很好地将诸多学科的技术内涵融会贯通。本书注重理论与实际的结合，内容组织科学严谨，反映了多门学科的内在联系和发展趋势。同时，本书还包含了丰富的例题和近400道习题(其中许多习题还配有详细的解答)，便于教学或自学，适合作为信息科学与技术相关专业高年级本科生和研究生教材，对相关专业技术人员也不失为一本有益的参考书。...

信息论、错误控制编码和密码学是现代数字通信系统中的三大支柱，《信息论、编码与密码学(第2版)》用有限的篇幅将三者中所有重要的概念有机地结合起来，涉及信息论、信源编码、信道编码和密码学等方面的知识，不仅内容丰富，而且技术深度适当。《信息论、编码与密码学(第2版)》适合作为高等院校信息安全、电子工程及相关专业信息论和编码课程的教材，从事相关工作的专业技术人员也能从中受益。

信息论基础，ISBN：9787111162452，作者：（美）Thomas M.Cover，（美）Joy A.Thomas著；阮吉寿，张华译

《信息论基础》(原书第2版)是信息论领域中一本简明易懂的教材。主要内容包括：熵、信源、信道容量、率失真、数据压缩与编码理论和复杂度理论等方面的介绍。《信息论基础》(原书第2版)还对网络信息论和假设检验等进行了介绍，并且以赛马模型为出发点，将对证券市场的研究纳入了信息论的框架，从新的视角给投资组合的研究带来了全新的投资理念和研究技巧。 《信息论基础》(原书第2版)第2版依然保持了第1版清晰。引人深思的写作风格。读者可以又一次获得数学，物理学。统计学以及信息论方面的综合知识。.. 关于信息论的主题包括熵、数据压缩。信道容量。率失真。网络信息论以及假设检验等领域的详细介绍，旨在为读者在理论研究和应用方面打下坚实的基础。在每章结束前提供了习题集和要点总结以及主要论点的历史回顾。 《信息论基础》(原书第2版)是电子工程。统计学以及电信方面的高年级本科生和研究生学习信息论基础课程的理想教材。