Time-Frequency Based Feature Extraction and Classification - Ervin Sejdi, Igor Djurovi, Jin Jiang

Time-Frequency Based Feature Extraction and Classification

Considering Energy Concentration as a Feature Using the Stockwell Transform and Related Approaches
Buch | Softcover
260 Seiten
2009
VDM Verlag Dr. Müller
978-3-639-21960-9 (ISBN)
79,00 inkl. MwSt
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In many fields such as telecommunications, multimedia, medical technology, radar and sonar, man-machine communications, we utilize advanced signal processing techniques to extrapolate underlying information on specific problems for the purpose of decision making. Traditional signal processing approaches assume the stationarity of signals, which in practice is not often satisfied. Hence, time or frequency descriptions alone are insufficient to provide comprehensive information about such signals. On the contrary, time-frequency analysis is more suitable for non-stationary signals. Therefore, this book provides a status report of feature-based signal processing in the time-frequency domain through an overview of recent contributions. The feature considered here is energy concentration. The material covered in this book should help shed some light on this exciting topic, and should be especially useful to professionals in many fields dealing with the analysis of non-stationary signals.
Sprache englisch
Maße 150 x 220 mm
Gewicht 345 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte feature • Wavelet
ISBN-10 3-639-21960-0 / 3639219600
ISBN-13 978-3-639-21960-9 / 9783639219609
Zustand Neuware
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