Description: A Foundation in Digital Communication A fully updated introductory text that derives the key results of digital communication from first principles. Amos Lapidoth (Author) 9781107177321, Cambridge University Press Hardback, published 8 February 2017 916 pages 25.3 x 18.2 x 4.5 cm, 1.92 kg Written in the intuitive yet rigorous style that readers of A Foundation in Digital Communication have come to expect, 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 definition of the power spectral density of nonstationary stochastic processes, 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. 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. Subject Areas: Signal processing [UYS], WAP [wireless technology TJKW]
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BIC Subject Area 1: Signal processing [UYS]
BIC Subject Area 2: WAP [wireless] technology [TJKW]
Number of Pages: 916 Pages
Publication Name: A Foundation in Digital Communication
Language: English
Publisher: Cambridge University Press
Item Height: 253 mm
Subject: Engineering & Technology, Computer Science
Publication Year: 2017
Type: Textbook
Item Weight: 1920 g
Author: Amos Lapidoth
Item Width: 182 mm
Format: Hardcover
