Overview
- Covers both analog and digital concepts for mobile communication systems
- Includes coverage of Fourier series and transforms, GSM cellular systems and more
- End of chapter problems for self testing and exploration
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Table of contents (9 chapters)
Keywords
About this book
Communication Systems is as an introductory textbook, presenting Fourier transform, convolution, and definitions of autocorrelation and power spectral density. It also introduces concepts of probability, random variables, and stochastic processes and their applications to the analysis of linear systems.
Innovatively, the text treats the modulation process using stochastic processes as well as covers amplitude modulation, quadrature modulation, angle modulation, mobile cellular systems, propagation channels and more. Quantization and coding of analog signals is also treated, as well as speech coding.
Channel modeling, including channel characteristics and propagation, is covered with an emphasis on simple models. Transmission and reception of modulated carriers is included as well as the required transmitting and receiving equipment. Mobile communication is also covered and considers both analog and digital systems.
The authors provide five appendices which cover topics such as Fourier series and transforms, Hilbert transform, important formulae, and cellular systems including CDMA and GSM standards. Many examples are provided as well as problems at the end of each chapter to allow the reader to practice his acquired knowledge.
Authors and Affiliations
Bibliographic Information
Book Title: Communication Systems
Authors: Marcelo S. Alencar, Valdemar C. Rocha
DOI: https://doi.org/10.1007/b138483
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-25481-4Published: 23 August 2005
eBook ISBN: 978-0-387-27097-5Published: 22 November 2005
Edition Number: 1
Number of Pages: XII, 416
Topics: Communications Engineering, Networks, Coding and Information Theory, Signal, Image and Speech Processing