Digital Communications: Fundamentals and Applications
- Andrew Viterbi, The Viterbi Group Master every key digital communications technology, concept, and technique. Digital Communications, Second Edition is a thoroughly revised and updated edition of the field's classic, best-selling introduction. With remarkable clarity, Dr. Bernard Sklar introduces every digital communication technology at the heart of today's wireless and Internet revolutions, providing a unified structure and context for understanding them -- all without sacrificing mathematical precision. Sklar begins by introducing the fundamentals of signals, spectra, formatting, and baseband transmission. Next, he presents practical coverage of virtually every contemporary modulation, coding, and signal processing technique, with numeric examples and step-by-step implementation guidance. Coverage includes:
Whether you're building wireless systems, xDSL, fiber or coax-based services, satellite networks, or Internet infrastructure, Sklar presents the theory and the practical implementation details you need. With nearly 500 illustrations and 300 problems and exercises, there's never been a faster way to master advanced digital communications. CD-ROM INCLUDEDThe CD-ROM contains a complete educational version of Elanix' SystemView DSP design software, as well as detailed notes for getting started, a comprehensive DSP tutorial, and over 50 additional communications exercises. |
From inside the book
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... energy ; higher energy signals are detected more reliably ( with fewer errors ) than are lower energy signals - the received energy does the work . On the other hand , power is the rate at which energy is delivered . It is important for ...
... energy signal has finite energy but zero average power , whereas a power signal has finite average power but infinite energy . A waveform in a system may be constrained in either its power or energy values . As a general rule , periodic ...
... Energy Spectral Density The total energy of a real - valued energy signal x ( t ) , defined over the interval , ( − ∞ , ∞ ) , is described by Equation ( 1.7 ) . Using Parseval's theorem [ 1 ] , we can relate the energy of such a ...
Contents
SIGNALS AND SPECTRA | 1 |
BASEBAND DEMODULATIONDETECTION | 3 |
FORMATTING AND BASEBAND MODULATION | 55 |
Copyright | |
16 other sections not shown