Digital Signal Processing: Signals, Systems and Filters with CD-ROM
Andreas Antoniou(Author)
McGraw-Hill Inc.,US (Publisher)
Published on 16. February 2005
Book
978-0-07-250502-3 (ISBN)
Description
Long regarded as the bible of digital filter design and analysis and the place to find the easiest, most efficient, and most robust solution for the filtering application at hand, Andreas Antoniou's enduring classic on digital filters has been thoroughly restructured and expanded into a state-of-the-art encyclopedic volume on digital signal processing. The new textbook, Digital Signal Processing: Signals, Systems and Filters, starts with the very basics of signal analysis and spectral representation; it then moves on to the fundamentals of discrete-time system theory; and in due course it tackles digital-filter design, the hallmark of the previous editions. A new appendix provides all the necessary mathematics for the student who has not had the chance to learn the prerequisite mathematics and it is just as handy as a reference for the student who has done so. Owing to its rather extensive coverage, the textbook is suitable for junior/senior as well as graduate level courses, as well as for self-study.Like its predecessors, the new book deals with the principles involved in an easy and often rather unique style. Theories, techniques, methods, and algorithms are supported by numerous examples and MATLAB illustrations. A software package being developed will facilitate, on the one hand, the student to perform experiments and, on the other, the professional engineer to design state-of-the-art digital filters.
More details
Language
English
Place of publication
New York
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 0 mm
Width: 0 mm
Thickness: 0 mm
ISBN-13
978-0-07-250502-3 (9780072505023)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
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.
Content
1 Introduction to Digital Signal Processing2 The Fourier Series and Transform3 The z Transform4 Discrete-Time Systems5 Application of z Transform to Discrete-Time Systems6 The Sampling Process7 The Discrete Fourier Transform8 Design of DSP Systems9 Design of Nonrecursive (FIR) Filters10 Analog-Filter Approximations11 Design of Recursive (IIR) Filters12 Design of Recursive Filters Satisfying Prescribed Specifications13 Random Signals14 Finite Wordlength Effects15 Design of Nonrecursive Filters Using Optimization16 Design of Recursive Filters Using Optimization17 Realization of Wave Digital Filters18 DSP ApplicationsAppendix A: Complex AnalysisAppendix B: Elliptic Functions