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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).
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).
Table of ContentsPreface. 1. Introduction. 2. Discrete-Time Signals and Systems. 3. The Discrete-Time Fourier Analysis. 4. The z-Transform. 5. The Discrete Fourier Transform. 6. Digital Filter Structures. 7. FIR Filter Design. 8. IIR Filter Design. 9. Applications in Adaptive Filtering. 10. Applications in Communications. Bibliography. Index.