This adapted version of Modern Digital and Analog Communication Systems, international fourth edition, is designed to serve as a textbook for the undergraduate students of electrical, electronics and communication engineering.Retaining the unique pedagogical style of the previous editions, the book first introduces the fundamentals of signals and systems and core communication topics and then presents the tools essential to the design and analysis of digital communications. The book does not presume prior knowledge of probability theory and only after laying a solid foundation in how communication systems work does it delve into analyses of communication systems that require probability theory and random processes. Featuring a seamless blend of mathematics and heuristics and carefully crafted examples to clarify mathematical abstractions, the book provides a thorough coverage of the principles and applications of modern communication systems.New to this Edition• A chapter on noise in communication systems, which deals with noise in receiving systems—thermal and shot noise—and the effect of channel noise on analog modulated systems• New topics on graphical interpretation of convolution, binomial and Poisson random variables, multipath and• Doppler spread and Shannon Fano coding• About 50 solved examples and an equal number of end-of-chapter problems• Answers to selected problems at the end of the bookFeatures of the book• Adopts flexible organization that accommodates a variety of course structures• Provides 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 The following resources are available to support the faculty using this text:Online Resources• Instructor’s Manual• PowerPoint Slides (figures only)Table of Contents1. Introduction2. Analysis and Transmission of Signals3. Amplitude Modulation and Demodulation4. Angle Modulation and Demodulation5. Sampling and Analog-to-Digital Conversion6. Random Variables and Processes7. Noise in Communication Systems8. Principles of Digital Data Transmission9. Performance Analysis of Digital Communication Systems10. Spread Spectrum Communication11. Digital Communication under Linearly Distortive Channels12. Introduction to Information Theory13. Error Correcting Codes.
