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Communication Systems Engineeringby John G. Proakis
Synopses & Reviews
Thorough coverage of basic digital communication system principles ensures that readers are exposed to all basic relevant topics in digital communication system design. The use of CD player and JPEG image coding standard as examples of systems that employ modern communication principles allows readers to relate the theory to practical systems. Over 180 worked-out examples throughout the book aids readers in understanding basic concepts. Over 480 problems involving applications to practical systems such as satellite communications systems, ionospheric channels, and mobile radio channels gives readers ample opportunity to practice the concepts they have just learned. With an emphasis on digital communications, Communication Systems Engineering, Second Edition introduces the basic principles underlying the analysis and design of communication systems. In addition, this book gives a solid introduction to analog communications and a review of important mathematical foundation topics. New material has been added on wireless communication systems—GSM and CDMA/IS-94; turbo codes and iterative decoding; multicarrier (OFDM) systems; multiple antenna systems. Includes thorough coverage of basic digital communication system principles—including source coding, channel coding, baseband and carrier modulation, channel distortion, channel equalization, synchronization, and wireless communications. Includes basic coverage of analog modulation such as amplitude modulation, phase modulation, and frequency modulation as well as demodulation methods. For use as a reference for electrical engineers for all basic relevant topics in digital communication system design.
Book News Annotation:
This text covers basic principles in the analysis and design of modern communication systems. Emphasis is on digital communications and mathematical foundations, with an introduction to analog communications. Students are assumed to have a basic understanding of continuous and discrete linear system theory, including a working knowledge of Fourier series and Fourier transform techniques. Some 180 worked examples and 480 problems are included. The text is intended for a first course in communications at a senior or first-year undergraduate level. This second edition features new content on the JPEG standard, Turbo codes, and wireless communications. Proakis is affiliated with the University of California-San Diego. Salehi is affiliated with Northeastern University.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
For a one/two-semester senior or first-year graduate level course in analog and digital communications.With an emphasis on digital communications, Communication Systems Engineering, Second Edition introduces the basic principles underlying the analysis and design of communication systems. In addition, this text gives a solid introduction to analog communications and a review of important mathematical foundation topics.
Communication Systems Engineering, 2nd edition, offers comprehensive coverage of the basic principles in the analysis and design of modern communication systems, and review of important mathematical foundation topics. It is primarily intended for use as a text for a first course in communications, or as a comprehensive reference for practicing engineers.
This new edition of Communication Systems Engineering exposes the reader to relevant topics from digital communication system principles including, source coding, channel coding, baseband and carrier modulation, channel distortion, channel equalization, synchronization, and wireless communications.
New content changes for the second edition include:
Includes bibliographical references (p. 785-793) and index.
Table of Contents
(NOTE: Each chapter concludes with Further Reading and Problems.)
Historical Review. Elements of an Electrical Communication System. Communication Channels and Their Characteristics. Mathematical Models for Communication Channels. Organization of the Book.
2. Frequency Domain Analysis of Signals and Systems.
Fourier Series. Fourier Transforms. Power and Energy. Sampling of Bandlimited Signals. Bandpass Signals.
3. Analog Signal Transmission and Reception.
Introduction to Modulation. Amplitude Modulation (AM). Angle Modulation. Radio and Television Broadcasting. Mobile Radio Stations.
4. Random Processes.
Probability and Random Variables. Random Processes: Basic Concepts. Random Processes in the Frequency Domain. Gaussian and White Processes. Bandlimited Processes and Sampling. Bandpass Processes.
5. Effect of Noise on Analog Communication Systems.
Effect of Noise on Linear-Modulation Systems. Carrier-Phase Estimation with a Phase-Locked Loop (PLL). Effect of Noise on Angle Modulation. Comparison of Analog-Modulation Systems. Effects of Transmission Losses and Noise in Analog Communication Systems.
6. Information Sources and Source Coding.
Modeling of Information Sources. Source-Coding Theorem. Source-Coding Algorithms. Rate-Distortion Theory. Quantization. Waveform Coding. Analysis-Synthesis Techniques. Digital Audio Transmission and Digital Audio Recording. The JPEG Image-Coding Standard.
7. Digital Transmission through the Additive White Gaussian Noise Channel.
Geometric Representation of Signal Waveforms. Pulse Amplitude Modulation. Two-Dimensional Signal Waveforms. Multidimensional Signal Waveforms. Optimum Receiver for Digitally Modulated Signals in Additive White Gaussian Noise. Probability of Error for Signal Detection in Additive White Gaussian Noise. Performance Analysis for Wireline and Radio Communication Channels. Symbol Synchronization.
8. Digital Transmission through Bandlimited AWGN Channels.
Digital Transmission through Bandlimited Channels. The Power Spectrum of Digitally Modulated Signals. Signal Design for Bandlimited Channels. Probability of Error in Detection of Digital PAM. Digitally Modulated Signals with Memory. System Design in the Presence of Channel Distortion. Multicarrier Modulation and OFDM.
9. Channel Capacity and Coding.
Modeling of Communication Channels. Channel Capacity. Bounds on Communication. Coding for Reliable Communication. Linear Block Codes. Cyclic Codes. Convolutional Codes. Complex Codes Based on Combination of Simple Codes. Coding for Bandwidth-Constrained Channels. Practical Applications of Coding.
10. Wireless Communications.
Digital Transmission on Fading Multipath Channels. Continuous Carrier-Phase Modulation. Spread-Spectrum Communication Systems. Digital Cellular Communication Systems.
Appendix A: The Probability of Error for Multichannel Reception of Binary Signals.
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