Digital communications /
Proakis, John G.
Digital communications / John G. Proakis. - 4th ed - Boston : McGraw-Hill, [c2001]. - xxi, [i], 1002 p : ill ; 24 cm. - McGraw-Hill series in electrical and computer engineering .
Previous ed. : 1995.
Includes bibliographical references 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. TOC
0072321113 0071181830 9780071181839
lc00025305
Digital communications.
TK5103.7 .P76 2001
621.382 / PRD 2001
Digital communications / John G. Proakis. - 4th ed - Boston : McGraw-Hill, [c2001]. - xxi, [i], 1002 p : ill ; 24 cm. - McGraw-Hill series in electrical and computer engineering .
Previous ed. : 1995.
Includes bibliographical references 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. TOC
0072321113 0071181830 9780071181839
lc00025305
Digital communications.
TK5103.7 .P76 2001
621.382 / PRD 2001