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A Foundation in Digital Communication

2nd Edition

$68.00 USD

  • Date Published: June 2017
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9781316830000

$ 68.00 USD
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  • 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.

    • Includes entirely new chapters on the radar problem and intersymbol interference channels, as well as a simpler, more geometric derivation of optimal detection in white Gaussian noise
    • Contains over 150 new homework problems, with solutions for instructors available online
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    Product details

    • Edition: 2nd Edition
    • Date Published: June 2017
    • format: Adobe eBook Reader
    • isbn: 9781316830000
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    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.

  • Author

    Amos Lapidoth, Swiss Federal University (ETH), Zürich
    Amos Lapidoth is Professor of Information Theory at Eidgenössische Technische Hochschule Zürich, the Swiss Federal Institute of Technology, and a Fellow of the Institute of Electrical and Electronics Engineers. He received his PhD in Electrical Engineering from Stanford University, California and has held the positions of Assistant Professor and Associate Professor at the Massachusetts Institute of Technology.

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