Introduction to Applied Statistical Signal Analysis: Guide to Biomedical and Electrical Engineering Applications - Brossura

Shiavi, Richard

Brossura

ISBN 10: 1483299996 ISBN 13: 9781483299990

Casa editrice: Academic Press, 2014

Riassunto

Introduction to Applied Statistical Signal Analysis is designed for the experienced individual with a basic background in mathematics, science, and computer. With this predisposed knowledge, the reader will coast through the practical introduction and move on to signal analysis techniques, commonly used in a broad range of engineering areas such as biomedical engineering, communications, geophysics, and speech. Introduction to Applied Statistical Signal Analysis intertwines theory and implementation with practical examples and exercises. Topics presented in detail include: mathematical bases, requirements for estimation and detailed quantitative examples for implementing techniques for classical signal analysis. This book will help readers understand real-world applications of signal analysis as they relate to biomedical engineering. The presentation style is designed for the upper level undergraduate or graduate student who needs a theoretical introduction to the basic principles of statistical modeling and the knowledge to implement them practically.

Su questo libro

L'autore:

Richard Shiavi is Professor of Biomedical Engineering and Professor of Electrical Engineering, actively engaged in teaching and research at Vanderbilt University and the Veterans Administration Medical Center. His main professional interests are in signal processing and main research interests are in bioelectric signal processing and signal measurement. Dr. Shiavi has been an active member of Institute of Electrical and Electronic Engineers (IEEE) and the IEEE Engineering in Medicine and Biology Society (EMBS) and is presently an Associate Editor for the Transactions on Biomedical Engineering. He is also an active member and past President of the International Society of Electrophysiology and Kinesiology.

Su questa edizione

• Editore: Academic Press
• Data di pubblicazione: 2014
• ISBN 10: 1483299996
• ISBN 13: 9781483299990
• Rilegatura: Copertina flessibile
• Numero edizione: 3
• Numero di pagine: 424