Articles liés à Time-Frequency Based Feature Extraction and Classification:...

Time-Frequency Based Feature Extraction and Classification: Considering Energy Concentration as a Feature Using the Stockwell Transform and Related Approaches - Couverture souple

Sejdić, Ervin; Djurović, Igor; Jiang, Jin

 
9783639219609: Time-Frequency Based Feature Extraction and Classification: Considering Energy Concentration as a Feature Using the Stockwell Transform and Related Approaches
Couverture souple
ISBN 10 : 3639219600 ISBN 13 : 9783639219609
Editeur : VDM Verlag Dr. Müller, 2009

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Dr. Ervin Sejdić is with the University of Toronto, Toronto, Ontario, Canada. Dr. Igor Djurović is with the University of Montenegro, Podgorica, Montenegro. Dr. Jin Jiang is with the University of Western Ontario, London, Ontario, Canada. Dr. LJubiša Stanković is with the University of Montenegro, Podgorica, Montenegro.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2009
Langue
anglais
ISBN 10 
3639219600
ISBN 13 
9783639219609
Reliure
Broché
Nombre de pages
260
Coordonnées du fabricant
non disponible
Personne responsable
non disponible