Digital Signal Processing: Principles, Algorithms, and Applications

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Prentice Hall, 1996 - Technology & Engineering - 968 pages
7 Reviews
A textbook suitable for either a one-semester or a two-semester undergraduate course in discrete systems and digital signal processing, or a one-semester first-year graduate course in digital signal processing. It presents the fundamentals of discrete-time signals, systems, and modern digital proces

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I have read the part of spectrum estimation, which is very comprehensive and clearly. It help me clarify many misconception and questions, especially in the nonparametric estimation methods, the time window effects and frequency leakage.

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User Review  - Sabbir Ahmed - Goodreads

Undoubtedly this is the best book for digital signal processing. Read full review

Contents

DISCRETETIME SIGNALS AND SYSTEMS
39
THE ZTRANSFORM AND ITS APPLICATION TO THE ANALYSIS
151
FREQUENCY ANALYSIS OF SIGNALS AND SYSTEMS
230
Copyright

13 other sections not shown

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About the author (1996)

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).

Dimitris G. Manolakis is currently a Member of Technical Staff at MIT Lincoln Laboratory in Lexington, Massachusetts. Prior to this he was a Principal Member of Research Staff at Riverside Research Institute. Since receiving his Ph.D. in Electrical Engineering from the University of Athens in 1981, he has taught at various institutions including Northeastern University, Boston College, and Worcester Polytechnic Institute and co-authored two textbooks on signal processing. His research experience and interests include the areas of digital signal processing, adaptive filtering, array processing, pattern recognition, remote sensing and radar systems.

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