Time-Frequency Based Feature Extraction and Classification

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.

Autorentext

Dr. Ervin Sejdic is with the University of Toronto, Toronto, Ontario, Canada. Dr. Igor Djurovic is with the University of Montenegro, Podgorica, Montenegro. Dr. Jin Jiang is with the University of Western Ontario, London, Ontario, Canada. Dr. LJubiSa Stankovic is with the University of Montenegro, Podgorica, Montenegro.