A Foundation in Digital Communication

Title: A Foundation in Digital Communications

Author: Amos Lapidoth

Edition: Second edition

ISBN 13: 9781107177321

Publisher: Cambridge University Press

Publish Date: February 2017

Binding: Hardcover, 916 pages

Weight: 1.92 kg

Exercises: 501

Figures: 93

BibTeX →First Edition

Amos Lapidoth

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 second edition includes entirely new chapters on the radar problem (with Lyapunov's theorem) and intersymbol interference channels, new discussion of the baseband representation of passband noise, and a simpler, more geometric derivation of the optimal receiver for the additive white Gaussian noise channel. Other key topics covered include the geometry of the space of energy-limited signals, the isometry properties of the Fourier transform, and complex sampling.

Including over 500 homework problems and all the necessary mathematical background, this is the ideal text for one- or two-semester graduate courses on digital communications and courses on stochastic processes and detection theory. Solutions to problems and video lectures are available online.


Preface to the second edition
Preface to the first edition
Acknowledgments for the second edition
Acknowledgments for the first edition
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
30. The radar problem
31. A glimpse at discrete-time signal processing
32. Intersymbol interference
App. A: On the Fourier series
App. B: On the discrete-time Fourier transform
App. C: Positive definite functions
App. D: The baseband representation of passband stochastic processes
Theorems referenced by name
List of symbols

About the Author

Amos Lapidoth received his PhD in electrical engineering from Stanford University. He was an assistant and associate professor at the Massachusetts Institute of Technology, and is currently professor of information theory at ETH Z├╝rich, the Swiss Federal Institute of Technology. He is a Fellow of the IEEE.

Last modified: Tue Jul 18 06:44:04 UTC 2023