Applied Digital Signal Processing
Language: English
Published by Cambridge University Press, 2011
- Hardcover
- New

Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 266.84
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.…
Seller Inventory # 9780521110020
- Title
- Applied Digital Signal Processing
- Author
- Vinay K. Ingle
- Publisher
- Cambridge University Press
- Publication year
- 2011
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0521110025
- ISBN 13
- 9780521110020
- Item weight
- 1,880 grams
- Dimensions
- 250x175x58 mm
"Synopsis" may belong to another edition of this title.
About the Author
Vinay K. Ingle is currently an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he has worked since 1981 after receiving his Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications and control theory, and has co-authored several textbooks on signal processing. He has broad research experience in the areas of signal and image processing, stochastic processes and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing.
"About the title" may belong to another edition of this title.
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