Principles Of Communications Systems Modulation And Noise
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Principles of Communications
This updated and revised edition offers a broad yet rigorous introduction to communication theory. Contains an excellent account of noise effects in analog and digital communication systems followed by introductory treatments of detection, estimation, information and coding theory. New to this edition: sections on trellis-coded modulation and carrier reconstruction; material on interference demonstrating the difference between linear and nonlinear systems; updates on optical communication links and feedback channels. Features scores of new examples and problems as well as computer exercises using mathematics packages such as MATLAB® and MathCad® to facilitate students' understanding of concepts and applications.
Principles of Communications
Sections on important areas such as spread spectrum, cellular communications, and orthogonal frequency-division multiplexing are provided. * Computational examples are included, illustrating how to use the computer as a simulation tool, thereby allowing waveforms, spectra, and performance curves to be generated. * Overviews of the necessary background in signal, system, probability, and random process theory required for the analog and digital communications topics covered in the book.
Principles of Communications
Author: Rodger E. Ziemer
language: en
Publisher: Wiley Global Education
Release Date: 2014-03-27
Keeping up to date with the most current technologies in the field is essential for all effective electrical and computer engineers. The updated 7th edition of Principles of Communications presents the reader with more in-chapter examples, providing for a more supportive framework for learning. Readers are exposed to digital data transmission techniques earlier in the book, so they can appreciate the characteristics of digital communication systems prior to learning about probability and stochastic processes. They will also find expanded forward error correction code examples, and additional MATLAB problems.