The Compressive Processing (CP) paradigm is fundamentally interdisciplinary, with interplay between applied/pure mathematics and engineering serving to fertilize new researches opening new frontiers. The impact of CP goes far beyond compression and classical signal processing. Whenever acquiring/inverting data/information is difficult, dangerous, or expensive, CP allows to proceed with much less data/information than previously thought possible. Such a possibility has been rapidly exploited in several and different ranges of practical engineering problems almost always leading to striking results that significantly advanced the state-of-the-art.
The course is targeted to make attendees (i) understanding the basics of CP, (ii) learning the leading-edge and most recent advances on CP-based algorithms, while (iii) overviewing the most appealing applications of CP in advanced engineering fields. Applicative examples including exercises will corroborate the theoretical concepts, as well.
- Review of the basics and fundamentals of CP
- Compressive sampling: acquisition problem and incoherent sampling
- Compressive sensing: retrieval problem and sparse signal reconstruction
- Advanced CP-based sampling methodologies at the state-of-the-art
- Advanced CP-based retrieval methodologies at the state-of-the-art
- Engineering applications of CP: capabilities, limitations, and perspectives
- Applicative examples including exercises regarding specific engineering applications of CP sampling and CP retrieval methodologies
From: 23 October 2023
To: 27 October 2023
Onsite (Trento) and Online