本书以真实的海洋信息观测网为背景，围绕海洋传感器观测、海洋信息传输、海洋数据处理、人机交互几个环节进行介绍，涉及传感器包括组网观测、数据通信、信号处理、硬件设计、软件编程、机械结构设计等方面知识。在学科方向上将通信工程、海洋科学、计算机技术、仪器科学与技术多个学科融合。全书共6章，内容包括海洋探测技术平台简介、海洋环境探测技术、海洋通信技术、数据处理技术、海洋数据人机交互技术、海洋探测技术综合应用。本书可作为高等院校电子工程、通信、工业自动化、计算机应用技术、船舶工程和仪器仪表等专业高年级本科生或研究生的综合训练教材及实验指导书，同时也可作为相关专业技术人员的自学参考书。

海上大气波导是大气中的一种异常传播现象，具有重要的军事和民用应用价值。本书针对当前大气波导实时监测技术无法满足军事及民用需求的现状，从船舶自动识别系统（AIS）设备的工作原理、数据组成等内容入手，研究基于AIS信号的大气波导监测技术，形成利用民用AIS数据进行大气波导监测的理论体系，为构建“岸海衔接、时空一致、优选一体”的大气波导监测网提供技术支撑。

本书结合大量应用实例，由浅入深地阐述了阵列天线的原理、方法和技术。全书共8章。第1章介绍了阵列天线的研究背景。第2章概述了构成阵列天线的基本单元天线的原理。第3章陈述了阵列天线的基本概念和原理。第4章讲述了阵列天线所用的信号处理方法。第5章阐述了阵列天线的自适应波束形成应用技术。第6章叙述了阵列天线的波束形成技术在空域抗干扰中的应用。第7章论述了阵列天线和阵列信号处理在空、时、频等多域中的抗干扰方法。第8章撰述了在阵列天线中应用虚拟天线进行干扰抑制的技术。本书结构紧密，内容丰富，在介绍理论的同时，也采用了工程案例进行仿真实现。

这本新技术指南展示了如何应用数学方法来解决基于5G的物联网通信中的安全挑战和整体性能问题。物联网（IoT）在各种物理对象（如传感器、车辆和手机）之间随时随地提供连接和数据交换。书中探索无线频谱共享系统、智能电网通信和机器对机器通信以及物联网应用的上行链路/下行链路通信中的安全漏洞并提供通信级的保护机制。书中的方法、优化问题、数学解决方案、算法和编程代码可以直接应用或扩展为针对不同物联网漏洞的对策。

《统计信号处理基础》分为3卷，全面讲解了检测、估计与滤波的基本原理，并且介绍了大量信号处理的经典算法与应用实例。本书是其中的第3卷，该卷建立了覆盖前2卷的综合性理论，在设计解决实际问题的优良算法方面帮助读者开发直观和专业的方法。本书首先评述开发信号处理算法的方法，包括数学建模、计算机模拟、性能评估。通过展示设计、评估、测试的有用解析结果和实现，将理论与实践联系起来。然后从几个关键的应用领域重点介绍了一些经典的算法。本书适合作为高等院校低年级研究生或高年级本科生统计信号处理课程的教材或参考书，也可供相关技术人员参考。 本书是世界图书出版公司“香农信息科学经典”系列图书中的一种。这个书系包含信息科学各个领域的图书，如信息论、通信与网络、信号处理、机器学习、理论计算机科学、量子信息科学等。“香农信息科学经典”以被世人称为“数字时代”之父和“信息时代”之父的克劳德·香农（Claude E. Shannon， 1916.4.30—2001.2.24）为名。书系的策划者为从香农所在的美国麻省理工学院归国的信息科学家。书系中除了包含信息领域传统分支的图书，还包括像“人工智能的信息论方法”与“信息科学中的博弈论”等前沿交叉学科的子系列。关于书系与香农的更多介绍，请见世图公号文章《一个新书系的诞生——香农、信息时代与“香农信息科学经典”》。

《统计信号处理基础》分为3卷，全面讲解了检测、估计与滤波的基本原理，并且介绍了大量信号处理的经典算法与应用实例。本书是其中的第2卷，全面介绍了信号检测算法，并且重点介绍了现实中的信号处理应用，包括现代语音、通信技术以及传统的声呐/雷达系统。书中介绍了基于简单假设检验的检测理论基础，包括Neyman-Pearson定理、无关数据的处理、贝叶斯风险、多元假设检验，以及确定性信号和随机信号的检测；书中也详细分析了适合于未知信号和未知噪声参数的复合假设检验。本书适合作为高等院校低年级研究生或高年级本科生统计信号处理课程的教材或参考书，也可供相关技术人员参考。 本书是世界图书出版公司“香农信息科学经典”系列图书中的一种。这个书系包含信息科学各个领域的图书，如信息论、通信与网络、信号处理、机器学习、理论计算机科学、量子信息科学等。“香农信息科学经典”以被世人称为“数字时代”之父和“信息时代”之父的克劳德·香农（Claude E. Shannon， 1916.4.30—2001.2.24）为名。书系的策划者为从香农所在的美国麻省理工学院归国的信息科学家。书系中除了包含信息领域传统分支的图书，还包括像“人工智能的信息论方法”与“信息科学中的博弈论”等前沿交叉学科的子系列。关于书系与香农的更多介绍，请见世图公号文章《一个新书系的诞生——香农、信息时代与“香农信息科学经典”》。

《统计信号处理基础》分为3卷，全面讲解了检测、估计与滤波的基本原理，并且介绍了大量信号处理的经典算法与应用实例。本书是其中的第1卷，详细介绍了经典估计理论和贝叶斯估计，总结了各种估计方法，考虑了维纳滤波和卡尔曼滤波，并介绍了对复数据和参数的估计方法。书中给出了大量的应用实例，范围包括高分辨率谱分析、系统辨识、数字滤波器设计、自适应噪声对消、自适应波束形成、跟踪和定位等；并且设计了大量的习题来加深对基本概念的理解。本书适合作为高等院校低年级研究生或高年级本科生统计信号处理课程的教材或参考书，也可供相关技术人员参考。 本书是世界图书出版公司“香农信息科学经典”系列图书中的一种。这个书系包含信息科学各个领域的图书，如信息论、通信与网络、信号处理、机器学习、理论计算机科学、量子信息科学等。“香农信息科学经典”以被世人称为“数字时代”之父和“信息时代”之父的克劳德·香农（Claude E. Shannon， 1916.4.30—2001.2.24）为名。书系的策划者为从香农所在的美国麻省理工学院归国的信息科学家。书系中除了包含信息领域传统分支的图书，还包括像“人工智能的信息论方法”与“信息科学中的博弈论”等前沿交叉学科的子系列。关于书系与香农的更多介绍，请见世图公号文章《一个新书系的诞生——香农、信息时代与“香农信息科学经典”》。

本书探索演进到5G的移动通信技术。这本新技术指南从架构到功能深入阐述了移动通信的基础，并特别关注5G服务、网络和应用。本书由权威的学术界和移动网络业界专家团队合作共同撰写，清楚地解释了5G通信新的性能、标准和实践以及技术背景和示例。本书中还包含有关移动技术安全的导论，并展望了未来趋势和新兴技术。

Error control codes protect the accuracy of data in modern information sys-tems，including computing，communication，and storage systems. Low-density parity-check （LDPC） codes and their relatives represent the state of the art in error control coding and are renowned for their ability to perform close to the theoretical limits. This book presents recent results on various LDPC code designs，making strong connections between two prominent design approaches，the algebraic-based and the graph theoretic-based constructions. New codes and code construction techniques are presented.Most methods for constructing LDPC codes can be classified into two general categories，the algebraic-based and the graph-theoretic-based constructions. The two best-known graph-theoretic-based construction methods are the progressive edge-growth （PEG） and the protograph-based （PTG-based） methods，devised in 2001 and 2003，respectively. Both of these techniques involve computer-aided design. One of the earliest algebraic-based methods for constructing LDPC codes is the superposition （SP） construction，proposed in 2002. In this book，the algebraic-based construction method is re-interpreted from both the algebraic and the graph-theoretic perspectives. From the algebraic point of view，it is shown that the SP-construction of LDPC codes includes，as special cases，most of the major algebraic construction methods developed since 2002. From the graph-theoretic point of view，it is shown that the SP-construction also includes the PTG-based construction as a special case. Based on this PTG/SP connection，an algebraic method is developed here to construct PTG-based LDPC codes.There are advantages to putting the algebraic-based and the PTG-based constructions into a single framework，the SP framework. One advantage is that SP descriptions of codes tend to be relatively compact，enabling simple code specifications in standards and textbooks. Another advantage to studying LDPC codes under the SP framework is that students and practitioners need only learn a single code design approach rather than the myriad approaches that exist in the published literature.Both binary and nonbinary code constructions will be presented under the SP framework. The SP-construction also leads to a new class of LDPC codes with a doubly quasi-cyclic （QC） structure as well as algebraic methods for constructing spatially and globally coupled LDPC codes. The globally coupled codes will be shown to possess a highly effective burst-erasure correction capability.A good number of new LDPC codes are constructed and simulated over thebinary-input additive white Gaussian noise channel and the binary erasure channel.This book will open the door for readers to understand many topics in modern LDPC codes that are scattered in the literature. It is intended as a self-study guide for students，researchers，and engineers interested in LDPC codes and their variations. The book explains the different design methodologies in detail and provides an ample number of code constructions along with simulations. The book shows that code design and construction are more of an art rather than science.Hopefully，after reading this book，the reader may gain enough artistic experience to produce codes that not only meet required specifications but also improve upon those reported here. To make the material widely accessible，the authors have kept the presentation as clear as possible and assumed only basic knowledge of terminology and results that are commonly covered in textbooks on coding theory.

This book owes its beginnings to the pioneering work of Claude Shannon in 1948 on reliable communication over noisy transmission channels. Shannon's central theme was that if the signaling rate of the system is less than the channel capacity， reliable communication can be achieved if one chooses proper encoding and decodingtechniques. The design of good codes and of efficient decoding methods， initiated by Hamming， Golay， and others in the late 1940s， has since occupied the energies of many researchers. Much of tlus work is highly mathematical in nature， and a thorough understanding requires an extensive background in modern algebra and probability theory. Tlus requirement has impeded many engineers and computer scientists who are interested in applying these techniques to practical systems. One of the purposes of this book is to present the essentials of this highly complex material in such a manner that it can be understood and applied with only a minimum of mathematical background.Coding researchin the 1950s and 1960s was devoted primarily to developing the theory of efficient encoders and decoders. In 1970 the first author published a book entitled An Introduction to Error-Correcting Codes， which presented the fundamen-tals of the previous two decades of work covering both block and convolutional codes. The approach was to explain the material in an easily understood manner，with a minimum of mathematical rigor. Then， in 1983， the authors published the first edition of this book. The approach again stressed the fundamentals of coding.In addition， new material on many of the practical applications of coding developed during the 1970s was introduced. Other major additions included a comprehensive treatment of the error-detecting capabilities of block codes and an emphasis on soft decoding methods for convolutional codes.In the 1980s and 1990s，the coding field exploded with new theoretical develop-ments， several of which have had significant practical consequences. Three of these new developments stand out in particular： the application of binary convolutional and block codes to expanded （nonbinary） modulation alphabets，the development of practical soft decoding methods for block codes， and the discovery of soft-input， soft-output iterative decoding techniques for block and convolutional codes. These new developments have revolutionized the way coding is applied to practical systems，affecting the design of high-speed data modems， digital mobile cellular telephony，satellite and space communications， and high-density data storage， to name just a few. A total of seven new chapters covering these topics have been added to this edition： two chapters on trellis- and block-coded modulation techniques， three chapters on soft decoding methods for block codes， and two chapters on turbo and low-density parity-check codes and iterative decoding.Because of the significant amount of new material and the need to maintain an emphasis on coding fundamentals， it was not possible to include certain topics in this edition. For example， the new developments in algebraic geometry codes and erasure correcting codes are not covered.