Synopses & Reviews
Fundamental communications principles that will keep you on the cutting edgeCommunications technology may come and go, but the ne Fifth Edition of Rodger Ziemer and William Tranter's Principles of Communications: Systems, Modulation, and Noise equips you with basic principles of communications at the physical layer—principles that will keep you on the cutting edge, regardless of how the technology changes.
Featuring thorough yet concise coverage, chapters gives you the necessary background in signal, system, probability, and random process theory required to understand the analog and digital communications topics covered in the book. You'll also learn about such currently popular topics as cellular radio, spread spectrum, and orthogonal frequency-division multiplexing.
Features of the Fifth Edition:
- Thoroughly updated to reflect the state-of-the-art in communications principles.
- Examples throughout the text illustrate key points and show how to apply theory.
- Computational computer examples in each chapter demonstrate how to use computers for calculation of various performance curves.
- Simulation computer examples show how to use the computer as a simulation tool, thereby allowing waveforms, spectra, and performance curves to be generated.
- Chapter summaries provide a concise checklist that will help you review for examinations.
- A wide variety of problems included at the end of each chapter allows you to practice on concepts given in text.
Synopsis
Electrical and computer engineers need to understand the most current technologies in the field. In order to provide the latest information, the sixth edition presents a new chapter that explores the principles of digital data transmission without the complicating factor of performance in noise. It exposes readers to digital data transmission techniques earlier in the book so that they can appreciate the characteristics of digital communication systems before learning about probability and stochastic processes. They’ll also find expanded forward error correction code examples and new MATLAB problems. Electrical and computer engineers will benefit from this completely up-to-date resource.
Synopsis
Ziemer and Tranter provide a thorough treatment of the principles of communications at the physical layer suitable for college seniors, beginning graduate students, and practicing engineers.
This is accomplished by providing 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. In addition to stressing fundamental concepts, sections on currently important areas such as spread spectrum, cellular communications, and orthogonal frequency-division multiplexing are provided.
While the book is aimed at a two-semester course, more than enough material is provided for structuring courses according to the needs of the students and the preferences of the instructor.
Synopsis
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.
Description
Includes bibliographical references (p. 623-625) and index.
Table of Contents
Chapter 1. Introduction.
Chapter 2. Signal And Linear System Analysis.
Chapter 3. Basic Modulation Techniques.
Chapter 4. Principles Of Baseband Digital Data Transmission.
Chapter 5. Overview Of Probability And Random Variables.
Chapter 6. Random Signals And Noise.
Chapter 7. Noise In Modulation Systems.
Chapter 8. Principles Of Data Transmission In Noise.
Chapter 9. Advanced Data Communications Topics.
Chapter 10. Optimum Receivers And Signal Space Concepts.
Chapter 11. Information Theory And Coding.
Appendix A. Physical Noise Sources.
Appendix B. Jointly Gaussian Random Variables.
Appendix C. Proof Of The Narrowband Noise Model.
Appendix D. Zero-Crossing And Origin Encirclement Statistics.
Appendix E. Chi-Square Statistics.
Appendix F. Quantization Of Random Processes.
Appendix G. Mathematical And Numerical Tables.