Computational Pulse Signal Analysis (PDF)
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This book describes the latest advances in pulse signal analysis and their applications in classification and diagnosis. First, it provides a comprehensive introduction to useful techniques for pulse signal acquisition based on different kinds of pulse sensors together with the optimized acquisition scheme. It then presents a number of preprocessing and feature extraction methods, as well as case studies of the classification methods used. Lastly it discusses some promising directions for the future study and clinical applications of pulse signal analysis. The book is a valuable resource for researchers, professionals and postgraduate students working in the field of pulse diagnosis, signal processing, pattern recognition and biometrics. It is also useful for those involved in interdisciplinary research.
Wangmeng Zuo is currently a professor at the School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. His research interests include discriminative learning, deep learning, image modeling and low-level vision, and biometrics. Dr. Zuo has published more than 50 papers in leading academic journals and at top-tier conferences. Dr. Zuo is an associate editor of the IET Biometrics, guest editor of Neurocomputing, Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology, and IEEE Transactions on Neural Networks and Learning Systems. He has co-authored a book on medical biometrics and another book on biometrics. He is a senior member of IEEE.
Peng Wang
- Autoren: David Zhang , Wangmeng Zuo , Peng Wang
- 2018, 1st ed. 2018, 328 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811040443
- ISBN-13: 9789811040443
- Erscheinungsdatum: 14.09.2018
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- Dateiformat: PDF
- Größe: 13 MB
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