SO DGTL SGNL PROCESSNG 2E

2. Auflage 2000
ISBN: 978-0-07-163509-7
Verlag: McGraw-Hill

Buch, Englisch, 456 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1107 g

The ideal review for your digital signal processing courseMore than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice. - Outline format facilitates quick and easy review of course fundamentals - Hundreds of examples illustrate applications and complex calculations - More than 300 solved problems - Exercises to help you test your mastery of digital signal processing - Appropriate for the following courses: Signals and Systems; Digital Signal Processing; Digital Filters and Signal Processing; Discrete-Time and Continuous-Time Linear Systems - Supports and supplements the bestselling textbooks in digital signal processing - Easy-to-follow review of digital signal processing - Solved problems demonstrate calculation techniques and applications - Supports all the major textbooks for digital signal processing courses

Autoren/Hrsg.

Hayes

Hayes, Monson

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning

Über Autor(innen)

Hayes, Monson
McGraw-Hill authors represent the leading experts in their fields and are dedicated to improving the lives, careers, and interests of readers worldwide

Monson H. Hayes is professor of electrical and computer engineering at the Georgia Institute of Technology in Atlanta, Georgia. He holds MSEE and Sc.D. degrees in electrical engineering and computer science from MIT. He is the author of the textbook Statistical Digital Signal Processing and Modeling.