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xviii, 1150 p. : ill. ; 24 cm.
  • Chapter 1: Introduction Chapter 2: Deterministic and Random Signal Analysis Chapter 3: Digital Modulation Schemes Chapter 4: Optimum Receivers for AWGN Channels Chapter 5: Carrier and Symbol Synchronization Chapter 6: An Introduction to Information Theory Chapter 7: Linear Block Codes Chapter 8: Trellis and Graph Based Codes Chapter 9: Digital Communication Through Band-Limited Channels Chapter 10: Adaptive Equalization Chapter 11: Multi-channel and Multi-carrier Systems Chapter 12: Spread Spectrum Signals for Digital Communications Chapter 13: Fading Channels I: Characterization and Signaling Chapter 14: Fading Channels II: Capacity and Coding Chapter 15: Multiple-Antenna Systems Chapter 16: Multi-user Communications Appendix A Matrices Appendix B Error Probability for Multichannel Binary Signals Appendix C Error Probabilities for Adaptive Reception of M-Phase Signals Appendix D Square Root Factorization References and Bibliography Index.
  • (source: Nielsen Book Data)9780071263788 20160527
"Digital Communications" is a classic book in the area that is designed to be used as a senior or graduate level text. The text is flexible and can easily be used in a one semester course or there is enough depth to cover two semesters. Its comprehensive nature makes it a great book for students to keep for reference in their professional careers. This all-inclusive guide delivers an outstanding introduction to the analysis and design of digital communication systems. It includes expert coverage of new topics such as: turbocodes, turboequalization, antenna arrays, digital cellular systems, and iterative detection. Convenient, sequential organization begins with a look at the history and classification of channel models and builds from there.
(source: Nielsen Book Data)9780072957167 20160528
Engineering Library (Terman)
xvii, 499 p. : ill. ; 26 cm.
  • Preface-- 1. Introduction-- 2. Modulation-- 3. Demodulation-- 4. Synchronization and noncoherent communication-- 5. Channel equalization-- 6. Information-theoretic limits and their computation-- 7. Channel coding-- 8. Wireless communication-- Appendices: A. Probability, random variables and random processes-- B. The Chernoff bound-- C. Jensen's inequality.
  • (source: Nielsen Book Data)9780521874144 20160528
This is a concise presentation of the concepts underlying the design of digital communication systems, without the detail that can overwhelm students. Many examples, from the basic to the cutting-edge, show how the theory is used in the design of modern systems and the relevance of this theory will motivate students. The theory is supported by practical algorithms so that the student can perform computations and simulations. Leading edge topics in coding and wireless communication make this an ideal text for students taking just one course on the subject. Fundamentals of Digital Communications has coverage of turbo and LDPC codes in sufficient detail and clarity to enable hands-on implementation and performance evaluation, as well as 'just enough' information theory to enable computation of performance benchmarks to compare them against. Other unique features include space-time communication and geometric insights into noncoherent communication and equalization.
(source: Nielsen Book Data)9780521874144 20160528
Engineering Library (Terman), eReserve