A Foundation in Digital Communication (First Edition)
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Title: A Foundation in Digital Communications Author: Amos Lapidoth Edition: First edition ISBN 13: 9780521193955 Publisher: Cambridge University Press Publish Date: July 2009 Binding: Hardcover, 750 pages Weight: 1.6 kg Exercises: 330 Figures: 75  |
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About the Book
This intuitive but rigorous introduction derives the core results and engineering schemes of digital communication from first principles. Theory, rather than industry standards, motivates the engineering approaches, and key results are stated with all the required assumptions.
The book emphasizes the geometric view, opening with the inner product, the matched filter for its computation, Parseval's theorem, the sampling theorem as an orthonormal expansion, the isometry between passband signals and their baseband representation, and the spectral-efficiency optimality of quadrature amplitude modulation (QAM). Subsequent chapters address noise, with a comprehensive study of hypothesis testing, Gaussian stochastic processes, the sufficiency of the matched filter outputs, and some coding theory.
New is a treatment of white noise without generalized functions and a presentation of the power spectral density without artificial random jitters and random phases in the analysis of QAM.
This systematic and insightful book—with over 300 exercises—is ideal for graduate courses in digital communication, and for anyone asking "why" and not just "how."
Contents
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Preface Acknowledgments 1. Some essential notation 2. Signals, integrals, and sets of measure zero 3. The inner product 4. The space L2 of energy-limited signals 5. Convolutions and filters 6. The frequency response of filters and bandlimited signals 7. Passband signals and their representation 8. Complete orthonormal systems and the sampling theorem 9. Sampling real passband signals 10. Mapping bits to waveforms 11. Nyquist's criterion 12. Stochastic processes: definition 13. Stationary discrete-time stochastic processes 14. Energy and power in PAM 15. Operational power spectral density 16. Quadrature amplitude modulation 17. Complex random variables and processes |
18. Energy, power, and PSD in QAM 19. The univariate Gaussian distribution 20. Binary hypothesis testing 21. Multi-hypothesis testing 22. Sufficient statistics 23. The multivariate Gaussian distribution 24. Complex Gaussians and circular symmetry 25. Continuous-time stochastic processes 26. Detection in white Gaussian noise 27. Noncoherent detection and nuisance parameters 28. Detecting PAM and QAM signals in white Gaussian noise 29. Linear binary block codes with antipodal signaling Appendix: On the Fourier series Bibliography Theorems referenced by name Abbreviations List of symbols Index |
Last modified: Tue Jul 18 06:44:21 UTC 2023
