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Introductory Digital Signal Processing with Computer Applications, 2E Paperback - 1998
by Lynn, Paul A
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Details
- Title Introductory Digital Signal Processing with Computer Applications, 2E
- Author Lynn, Paul A
- Binding Paperback
- Edition 2nd Edition
- Condition Used - Good
- Pages 496
- Volumes 1
- Language ENG
- Publisher Wiley
- Publication date 1998-04T
- Features Bibliography
- Bookseller's Inventory # sun0000011935
- ISBN 9780471976318 / 0471976318
- Weight 1.99 lbs (0.90 kg)
- Dimensions 9.8 x 7.46 x 1.03 in (24.89 x 18.95 x 2.62 cm)
- Size 1.1200 in x 9.6800 in x 7.4300 i
- Category Technology & Industrial Arts
- Library of Congress subjects Signal processing - Digital techniques, Signal processing - Digital techniques -
- Library of Congress Catalogue Number 97022235
- Dewey Decimal Code 621.382
- Quantity available 9
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From the publisher
From the rear cover
"An excellent introductory book" --Review of the First Edition in the International Journal of Electrical Engineering Education
"... it will serve as a reference book in this area for a long time" --Review of Revised Edition in Zentralblatt fr Mathematik (Germany)
Firmly established as the essential introductory Digital Signal Processing (DSP) text, this second edition reflects the growing importance of random digital signals and random DSP in the undergraduate syllabus by including two new chapters. The authors' practical, problem-solving approach to DSP continues in this new material, which is backed up by additional worked examples and computer programs.
The book now features:
- fundamentals of digital signals and systems
- time and frequency domain analysis and processing, including digital convolution and the Discrete and Fast Fourier Transforms
- design and practical application of digital filters
- description and processing of random signals, including correlation, filtering, and the detection of signals in noise
Programs in C and equivalent PASCAL are listed in an appendix. Typical results and graphic plots from all the programs are illustrated and discussed in the main text. The overall approach assumes no prior knowledge of electronics, computing, or DSP.
An ideal text for undergraduate students in electrical, electronic and other branches of engineering, computer science, applied mathematics and physics. Practising engineers and scientists will also find this a highly accessible introduction to an increasingly important field.
