# Digital Signal Processing: Signals, Systems, and Filters

## Andreas Antoniou

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An up-to-the-minute textbook for junior/senior level signal processing courses and senior/graduate level digital filter design courses, this text is supported by a DSP software package known as D-Filter which would enable students to interactively learn the fundamentals of DSP and digital-filter design. The book includes a free license to D-Filter which will enable the owner of the book to download and install the most recent version of the software as well as future updates.

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From the Back Cover:

Learn the fundamentals of DSP and digital filter design

With a strong focus on basic principles and applications, this thoroughly up-to-date text provides a solid foundation in the concepts, methods, and algorithms of digital signal processing. Key topics such as spectral analysis, discrete-time systems, the sampling process, and digital filter design are all covered in well-illustrated detail.

Filled with examples and problems that can be worked in MATLAB or the author's DSP software, D-Filter, Digital Signal Processing offers a fully interactive approach to successfully mastering DSP.

Accessible and comprehensive, this resource covers the essentials of DSP theory and practice including:

• The Fourier and z transforms and their application in the spectral analysis of signals
• Discrete Fourier transform (DFT), fast Fourier transform (FFT) algorithms, and window techniques
• Finite impulse response (FIR) and infinite impulse response (IIR) digital filter design using both closed-form and iterative optimization methods
• Detailed study of digital filter imperfections

MASTER DSP AND DIGITAL FILTER DESIGN
Introduction to Digital Signal Processing
Fourier Series and Fourier Transform
The z Transform
Discrete-Time Systems
Applications of the z Transform
The Sampling Process
Discrete Fourier Transform
Realization of Digital Filters
Design of Nonrecursive (FIR) Filters
Approximations for Analog Filters
Design of Recursive (IIR) Filters
Design of Recursive (IIR) Filters Satisfying Prescribed Specifications
Random Signals
Effects of Finite Word Length in Digital Filters
Design of Nonrecursive (FIR) Filters Using Optimization Methods
Design of Recursive (IIR) Filters Using Optimization Methods
Wave Digital Filters
DSP Applications

Andreas Antoniou received the B.Sc. (Eng.) and Ph.D. degrees in Electrical Engineering from the University of London, U.K., in 1963 and 1966, respectively, and is a Fellow of the Institution of Electrical Engineers and the Institute of Electrical and Electronics Engineers. He taught at Concordia University from 1970 to 1983 serving as Chair of the Department of Electrical and Computer Engineering during 1977-83. He served as the founding Chair of the Department of Electrical and Computer Engineering, University of Victoria, B.C., Canada, from 1983 to 1990, and is now Professor Emeritus in the same department. His teaching and research interests are in the areas of circuits and systems and digital signal processing. He is the author of Digital Filters: Analysis, Design, and Applications (McGraw-Hill), first and second editions, published in 1978 and 1993, respectively, and the co-author with W.-S Lu of Two-Dimensional Digital Filters (Marcel-Dekker, 1992).

Dr. Antoniou served as Associate Editor and Chief Editor for the IEEE Transactions on Circuits and Systems (CAS) during 1983-85 and 1985-87, respectively; as a Distinguished Lecturer of the IEEE Signal Processing Society in 2003; and as the General Chair of the 2004 IEEE International Symposium on Circuits and Systems.

He received the Ambrose Fleming Premium for 1964 from the IEE (best paper award), a CAS Golden Jubilee Medal from the IEEE Circuits and Systems Society in 2000, the B.C. Science Council Chairman's Award for Career Achievement for 2000, the Doctor Honoris Causa degree from the Metsovio National Technical University of Athens, Greece, 2002, and the IEEE Circuits and Systems Society Technical Achievements Award for 2005.

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