Digital Communication, 3/e (Hardcover)
John R. Barry, Edward A. Lee, David G. Messerschmitt
 出版商: Springer
 出版日期: 20030930
 售價: $1,380
 貴賓價: 9.5 折 $1,311
 語言: 英文
 頁數: 838
 裝訂: Hardcover
 ISBN: 0792375483
 ISBN13: 9780792375487
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商品描述
New in this Third Edition: + New material on recent advances in wireless communications, errorcontrol coding, and multiuser communications has been added. As a result, two new chapters have been added, one on the theory of MIMO channels, and the other on diversity techniques for mitigating fading. + Our treatment of errorcontrol coding has been rewritten to reflect the current state of the art. + Chapters 6 through 9 from the Second Edition have been reorganized and streamlined to highlight pulseamplitude modulation, becoming the new chapters 5 through 7. + We have increased the readability by relegating many of the more detailed derivations to appendices and exercise solutions, both of which are included in the book. + Exercises, problems, and solutions have been revised and expanded. + Three chapters from the previous edition have been moved to the book's Web site to make room for the new material. This book is suitable as a firstyear graduate textbook, and should also be of interest to many industry professionals. We have attempted to make the book attractive to both audiences through the inclusion of many practical examples and a practical flavor in the choice of topics. additional information from the Second Edition, other supplementary materials, useful links, a problem solutions manual, and errata. To limit the length we have been selective in topics covered and in the depth of coverage. For example, the coverage of advanced information, coding, and detection theory is limited to those aspects directly relevant to the design of digital communication systems. This emphasis on topics important to designers results in more detailed treatment of some topics than is traditional in academic textbooks, for example in our coverage of synchronization (timing and carrier recovery). Notes to the Instructor: This book can be used as a textbook for advanced undergraduates, or for a first course in digital communication for graduate students. We presume a working knowledge of transforms, linear systems, and random processes, and review these topics in chapters 2 and 3 at a depth suitable only for establishing notation. This treatment also serves to delimit the background assumed in the remainder of the book, or with more advanced students can be omitted or made optional. We include a more detailed treatment of basic topics important to digital communication but which may not be familiar to a firstyear graduate student, including signal space (chapter 2), Markov chains and their analysis (chapter 3), Poisson processes and shot noise (chapter 3), the basic boundaries of communication from information theory (chapter 4), and maximumlikelihood detection and the Viterbi algorithm (chapter 7). These treatments are selfcontained and assume only the basic background mentioned earlier. These basic topics can be covered at the beginning of the course, or delayed until the first time they are used. Our own preference is the latter, since the immediate application of the techniques serves as useful reinforcement. The core of the book consists of the treatment of modulation, detection and equalization (chapters 5 through 9), MIMO channels (chapters 10 and 11), coding (chapters 12 and 13), and synchronization (chapters 14 through 16). These topics are covered in considerable depth. After completing a course based on this book, students should be highly motivated to take advanced courses in information theory, algebraic coding, detection and estimation theory, and communication networks, and will have a prior appreciation of the utility of these topics. There is sufficient material for two semesters, although it can easily be used for a singlesemester course by selectively covering topics. At Georgia Tech we use this book for a onesemester graduate course that has as prerequisites undergraduate courses in systems and transforms and probability and random processes. We do not presume any prior exposure to signal space, Markov chains, or the Poisson process. In this course we rely on the students to review Chapters 1 through 4, and we cover Chapters 5 through 8 and Chapter 10 and 11 in lecture. Chapters 9, 12 and 13 are skipped because adaptive filtering and errorcontrol coding techniques are covered in other courses.