報告題目：Understanding bat and whale signals with time frequency transforms
報告專家：Luca De Marchi
報告時間🧘♂️：6月12日15:00
報告地點：#騰訊會議：949-370-524
報告內容：Non-stationary signals such as bat and whale chirps can be analyzed by means of time-frequency representations(TFRs). Unfortunately, any TFR is subjected to the time-frequency uncertainty principle. This, in general, limits the capability of TFRs to characterize multiple, closely spaced echoes from a time-transient measurement, over a wide frequency range.
To overcome this limitation, novel time-frequency decompositions can be implemented. Such decompositions may be designed with a more flexible tiling of the time-frequency domain in order to achieve enhanced signal analysis capabilities. The proposed transformation is fast, invertible, and covariant to group delay shifts. The lecture will discuss how such mathematical operators are also suitable for the analysis of ultrasonic signals in the non-destructive inspection of structures and materials, or for the characterization of the marine environment with SONAR.
專家簡介：Luca De Marchi received the Ph.D. degrees in electronics engineering from the University of Bologna, Bologna, Italy, in 2006. In 2011, he joined the Department of Electrical and Information Engineering, University of Bologna, where now he is Associate Professor. Since 2003, he has been collaborating with the Advanced Research Center for Electronic Systems. His current research interests are in ultrasonic systems and adaptive signal processing, with a particular emphasis on structural health monitoring applications.In this field, he has puglished more than 200 publications and he holds two patents.