Non-stationary time series analysis has gained an explosive interest over the recent decades in different applied fields. In fact, several new decomposition methods and new time-frequency analysis tools have been developed which allow to extract and analyze hidden features of non-stationary signals.
An overview of the recent theoretical, numerical and data analysis advances in the framework of non-stationary time series analysis will be given during the school.
During the first four days of the event (July 19 - 22, ref. Program) there will be three courses of 8 hours each.
The courses will consist in both theoretical lectures and laboratory exercitations.
Please find the Lecturer names in the Invited Lecturers & Speakers tab.
The aim of the school is to provide both the basic knowledge and new data analysis tools/techniques to researchers interested in working in this new and promising field of research.
After the school there will be a three days conference (July 22 - 24, ref. Program) during which speakers will show both the application of these techniques to real data and the frontiers of the theoretical research. The aim of the conference is twofold. On the one hand, it will give the opportunity to international experts in the field to meet and share their current research. On the other hand, it will allow the young generation to connect with senior reserchers working in this field, giving them the opportunity to highlight the current directions of research and the most intriguing open problems.