Mathematics for Signal Processing and Applications in Geophysics and Other Fields

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 Geophysical applications. 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.

Course leader

Charles K Chui - Stanford University Monica Dörfler - University of Vienna Andrea Morelli - Istituto Nazionale di Geofisica e Vulcanologia

Target group

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