Modern Digital and Analog Communication Systems
An ideal first text on communication systems in electrical engineering, Modern Digital and Analog Communication Systems is now in its fourth edition. Retaining the superb pedagogical style of the first three editions, the authors first introduce the fundamentals of signals and systems and core communication topics; they then present the tools essential to the design and analysis of digital communications. Featuring a seamless blend of mathematics and heuristics, carefully crafted examples to...
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An ideal first text on communication systems in electrical engineering, Modern Digital and Analog Communication Systems is now in its fourth edition. Retaining the superb pedagogical style of the first three editions, the authors first introduce the fundamentals of signals and systems and core communication topics; they then present the tools essential to the design and analysis of digital communications. Featuring a seamless blend of mathematics and heuristics, carefully crafted examples to clarify mathematical abstractions, and new and updated MATLAB exercises, this text provides a thorough coverage of modern communication system theory and application that is easily accessible to students.Modern Digital and Analog Communication Systems is suitable for students with or without prior knowledge of probability theory. Only after laying a solid foundation in how communication systems work do the authors delve into analyses of communication systems that require probability theory and random processes. Revised, expanded, and updated throughout, the fourth edition reflects the many technological advances in the field, such as OFDM and CDMA, pervasive communication applications such as cellular systems, wireless LAN systems, and DSL modem technology services.New Features *New discussion of technological advances and applications *New chapters (12 and 13) on spread spectrum communications and frequency selective channels and OFDM systems *New and updated MATLAB examples give students hands-on experience *Flexible organization (outlined in the preface) accommodates a variety of course structures, including one-semester, two-semester, one-quarter, and two-quarter *Accessible to students with no background in probability theory *Abundant real-world examples that are applicable to students' everyday lives *Gives intuitive insights—rather than just proofs—wherever possible, as well as heuristic explanations of theoretical results• Incorporates new topics including code division multiple-access (CDMA), orthogonal frequency division multiplexing (OFDM), equalization, soft decoding, turbo codes, and low-density parity check (LDPC) codes
Preface1Introduction12Introduction to Signals143Analysis and Transmission of Signals714Amplitude (Linear) Modulation1515Angle (Exponential) Modulation2086Sampling and Pulse Code Modulation2517Principles of Digital Data Transmission2948Emerging Digital Communications Technologies3549Some Recent Developments and Miscellaneous Topics40410Introduction to Theory of Probability43411Random Processes48712Behavior of Analog Systems in the Presence of Noise53213Behavior of Digital Communication Systems in the Presence of Noise57714Optimum Signal Detection62615Introduction to Information Theory67916Error Correcting Codes728App. AOrthogonality of Some Signal Sets764App. BSchwarz Inequality766App. CGram-Schmidt Orthogonalization of a Vector Set768App. D: Miscellaneous771Index775
