Digital communications /
John G. Proakis
- Fourth edition
- xxi, 1,002 pages : illustrations ; 24 cm
- McGraw-Hill series in electrical and computer engineering .
- McGraw-Hill series in electrical and computer engineering .
Includes bibliographical references (pages 963-992) and index
Elements of a Digital Communication System -- Communication Channels and Their Characteristics -- Mathematical Models for Communication Channels -- A Historical Perspective in the Development of Digital Communications -- Overview of the Book -- Probability and Stochastic Processes -- Probability -- Random Variables, Probability Distributions, and Probability Densities -- Functions of Random Variables -- Statistical Averages of Random Variables -- Some Useful Probability Distributions -- Upper Bounds on the Tail Probability -- Sums of Random Variables and the Central Limit Theorem -- Stochastic Processes -- Statistical Averages -- Power Density Spectrum -- Response of a Linear Time-Invariant System to a Random Input Signal -- Sampling Theorem for Band-Limited Stochastic Processes -- Discrete-Time Stochastic Signals and Systems -- Cyclostationary Processes -- Source Coding -- Mathematical Models for Information Sources -- A Logarithmic Measure of Information -- Average Mutual Information and Entropy -- Information Measures for Continuous Random Variables -- Coding for Discrete Sources -- Coding for Discrete Memoryless Sources -- Discrete Stationary Sources -- The Lempel-Ziv Algorithm -- Coding for Analog Sources--Optimum Quantization -- Rate-Distortion Function -- Scalar Quantization -- Vector Quantization -- Coding Techniques for Analog Sources -- Temporal Waveform Coding -- Spectral Waveform Coding -- Model-Based Source Coding -- Characterization of Communication Signals and Systems -- Representation of Band-Pass Signals and Systems