Mathematics for Signal Processing and Applications in Geophysics and other fields (MaSAG25)

About

Given the success of the previous two editions named “Nonstationary Signal Analysis in Geophysics 2021” (NoSAG21), and “Mathematics for Signal processing and Applications in Geophysics and other fields 2023” (MaSAG23), we plan to organize for 2025 a third edition, which will start with a three-day Summer School (June 9 - 11, ref. Program). The goal of the Summer School is to bring out the knowledge about non-linear data analysis tools for signal processing to the next generation of researchers. The School will consist in three courses of 8 hours which will be given by international experts in the Mathematics for Signal Processing and Applications. Please find the Lecturer names in the Invited Lecturers & Speakers tab. The topics of the courses will include reviews of modern signal processing tools, such as Synchrosqueezing Wavelet, Empirical Mode Decomposition, Fast Iterative Filtering, et cetera. Each course will include tutorials focused on possible applications to geophysical systems and other applications. Hence the attendees will have the opportunity to learn about the most modern algorithms for non-linear data analysis directly from world experts and they will have a chance to practice their applications to real life problems.

Summer School Lecturers
David Anderson - Georgia Tech
Hans G. Feichtinger - University of Vienna
Xue-Cheng Tai - NORCE Norwegian Research Centre

The three-days Conference that will close the event (June 12 - 14, ref. Program) will give to the young researchers the opportunity to meet and listen to talks given by top researchers working both in the development of new tools for signal processing, their mathematical analysis, their applications to modern geophysical and other applied fields problems, as well as to discover new open problems in Geophysics and other fields of research. Talks will span from inverse problems, like the determination of the unknown number of active sub-signals of a blind-source composite signal, to separation methods for multicomponent nonstationary signals with crossing instantaneous frequencies and chirps, passing by the analysis of big data by means of machine learning and deep learning approaches, the development and analysis of multivariate and multidimensional data analysis techniques, the time-frequency representation filtering and enhancing, and the development of comprehensive adaptive harmonic models to represent composite signals.
We plan to have poster sessions throughout the conference, to provide young researchers the opportunity to showcase their work and research activities.

Course leader

David Anderson; Hans G. Feichtinger; Xue-Cheng Tai

Target group

Both Mathematicians and Applied people working in the development, analysis, and application of methods for the study of non-stationary signals

Fee info

Summer School + Conference (June 9 - 14) including coffee breaks and lunches. Registration fees are:- 300 Euro - Early registration - deadline May 31, 2025 - 380 Euro - Standard registration rate