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Used - Good 3rd Edition May contain highlighting/underlining/notes/etc. May have used stickers on cover. Ships same or next day. Expedited shipping takes 2-3 business days; ...standard shipping takes 4-14 business days.Read moreShow Less
Featuring a variety of applications that motivate students, this book serves as a companion or supplement to any of the comprehensive textbooks in communication systems. The book provides a variety of exercises that may be solved on the computer using MATLAB. By design, the treatment of the various topics is brief. The authors provide the motivation and a short introduction to each topic, establish the necessary notation, and then illustrate the basic concepts by means of an example.
"This book is a great resource that complements regular in-class coverage of various communication systems with many computer exercises using MATLAB. The students tremendously benefit from such exercises and get well prepared for their future careers."
Serving as a communications systems textbook supplement, this volume provides exercises that may be solved on the computer using the student edition of MATLAB. Assuming some familiarity with basic MATLAB, this volume is for advanced undergraduate students and graduate students in electrical engineering, computer engineering, and computer science. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Product dimensions: 7.20 (w) x 9.00 (h) x 0.90 (d)
Meet the Author
John Proakis is an Adjunct Professor at the University of California at San Diego and a Professor Emeritus at Northeastern University. He was a faculty member at Northeastern University from 1969 through 1998 and held the following academic positions: Associate Professor of Electrical Engineering, 1969-1976; Professor of Electrical Engineering, 1976-1998; Associate Dean of the College of Engineering and Director of the Graduate School of Engineering, 1982-1984; Chairman of the Department of Electrical and Computer Engineering, 1984-1997. His professional experience and interests are in the general areas of digital communications and digital signal processing. He is the co-author of several books including Digital Communications (2008, 5th ed.), Introduction to Digital Signal Processing (2007, 4th ed.); Digital Signal Processing Laboratory (1991); Advanced Digital Signal Processing (1992); Digital Processing of Speech Signals (2000); Communication Systems Engineering, (2002, 2nd ed.); Digital Signal Processing Using MATLAB V.4 (2010, 3rd ed.); Contemporary Communication Systems Using MATLAB (2004, 2nd ed.); Algorithms for Statistical Signal Processing (2002); Fundamentals of Communication Systems (2005).
Masoud Salehi received BS from Tehran University and MS and PhD from Stanford University, all in Electrical Engineering. Before joining Northeastern University, he was with the Electrical Engineering Departments at Isfahan University of Technology and Tehran University both in Iran. During 1988-1989 he was a visiting professor at the Information and Communication Theory Research Group, Eindhoven University of Technology, The Netherlands, where he did research in network information theory and coding for storage media. In 1989 he joined the Department of Electrical and Computer Engineering, Northeastern University. Dr. Salehi is the coauthor of the textbooks "Communication Systems Engineering", "Communication Systems with MATLAB", "Fundamentals of Communication Systems", and "Digital Communications". His main areas of research interest include information theory and coding.
Gerhard Bauch received the Dipl.-Ing. and Dr.-Ing. degree in Electrical Engineering from Munich University of Technology (TUM) in 1995 and 2001, respectively, and the Diplom-Volkswirt degree from FernUniversitaet Hagen in 2001. In 1996, he was with the German Aerospace Center (DLR), Oberpfaffenhofen, Germany. From 1996-2001 he was member of scientific staff at Munich University of Technology (TUM). In 1998 and 1999 he was visiting researcher at AT&T Labs Research, Florham Park, NJ, USA. In 2002 he joined DoCoMo Euro-Labs, Munich, Germany, where he has been managing the Advanced Radio Transmission Group. In 2007 he was additionally appointed Research Fellow of DoCoMo Euro-Labs. From 2003-2008 he was an adjunct professor at Munich University of Technology. In 2007 he was a visiting professor teaching courses at the University of Udine in Italy and at the Alpen-Adria-University Klagenfurt in Austria. Since February 2009 he has been a full professor at the Universität der Bundeswehr Munich.
1. SIGNALS AND LINEAR SYSTEMS. Fourier Series. Fourier Transforms. Power and Energy. Lowpass Equivalent of Bandpass Signals. 2. RANDOM PROCESSES. Generation of Random Variables. Gaussian and Gauss-Markov Processes. Power Spectrum of Random Processes and White Processes. Linear Filtering of Random Processes. Lowpass and Bandpass Processes. Monte Carlo Simulation of Digital Communication Systems. 3. ANALOG MODULATION. Amplitude Modulation (AM). Demodulation of AM Signals. Angle Modulation. 4. ANALOG-TO-DIGITAL CONVERSION. Measure of Information. Quantization. 5. BASEBAND DIGITAL TRANSMISSION. Binary Signal Transmission. Multiamplitude Signal Transmission. Multidimensional Signals. 6. DIGITAL TRANSMISSION THROUGH BANDLIMITED CHANNELS. The Power Spectrum of a Digital PAM Signal. Characterization of Bandlimited Channels and Channel Distortion. Characterization of Intersymbol Interference. Communication System Design for Bandlimited Channels. Linear Equalizers. Nonlinear Equalizers. 7. DIGITAL TRANSMISSION VIA CARRIER MODULATION. Carrier-Amplitude Modulation. Carrier-Phase Modulation. Quadrature Amplitude Modulation. Carrier-Frequency Modulation. Synchronization in Communication Systems. 8. MULTICARRIER MODULATION AND OFDM. Generation of an OFDM Signal. Demodulation of OFDM Signals. Use of a Cyclic Prefix to Eliminate Channel Dispersion. Spectral Characteristics of OFDM Signals. Peak-to-Average Power Ratio in OFDM Systems. 9. DIGITAL TRANSMISSION THROUGH WIRELESS CHANNELS. Channel Models for Time-Variant Multipath Channels. Performance of Binary Modulation in Rayleigh Fading Channel. 10. CHANNEL CAPACITY AND CODING. Channel Model and Channel Capacity. Channel Coding. Turbo Codes and Iterative Decoding. Low Density Parity Check Codes. 11. MULTIPLE ANTENNA SYSTEMS. Channel Models for Multiple Antenna Systems. Signal Transmission in a Slow Fading Frequency Nonselective MIMO Channel. Capacity of MIMO Channels. Space-Time Codes for MIMO Systems. 12. SPREAD SPECTRUM COMMUNICATION SYSTEMS. Direct-Sequence Spread Spectrum Systems. Generation of PN Sequences. Frequency-Hopped Spread Spectrum.