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Editorial Reviews
Product Description
This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB® in the study of DSP concepts. In this book, MATLAB® is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB® makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB® V7.
About the Author
Vinay K. Ingle is an Associate Professor of Electrical and Computer Engineering at Northeastern University. He received his Ph.D. in electrical and computer engineering from Rensselaer Polytechnic Institute in 1981. He has broad research experience and has taught courses on topics including signal and image processing, stochastic processes, and estimation theory. Professor Ingle is coauthor of the books: DSP Laboratory Using the ADSP-2181 Microprocessor (Prentice-Hall, 1991), Discrete Systems Laboratory (Brooks-Cole, 2000), and Statistical and Adaptive Signal proc-essing (Artech House, 2005).
Dr. John G. Proakis is currently a Research Professor at Northeastern University. As a faculty member, he held positions as 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), and Chairman of the Department of Electrical and Computer Engineering (1984-1997). Prior to 1969, he served on the staff of GTE Laboratories and the MIT Lincoln Laboratory. Dr. Proakis received the BSEE Degree from the University of Cincinnati, the MSEE Degree from MIT, and the Ph.D. in Engineering from Harvard University. His professional experience and interests are in the general areas of digital communications and digital signal processing and more specifically, in adaptive filtering, adaptive communication systems and adaptive equalization techniques, communication through fading multipath channels, radar detection, signal parameter estimation, communication systems modeling and simulation, optimization techniques, and statistical analysis. His academic duties include research in the areas of digital communications and digital signal processing and teaching of undergraduate and graduate courses in communications, circuit analysis, control systems, probability, stochastic processes, discrete systems, and digital signal processing. Dr. Proakis is the author or co-author of books in Digital Communications, Digital Signal Processing, Digital Signal Processing Laboratory, Advanced Digital Signal Processing, Digital Processing of Speech Signals, and Communication Systems Engineering.