Compressive sensing (CS) is a fundamentally interdisciplinary topic, with interplay between applied/pure mathematics and engineering serving to fertilize innovative researches opening new frontiers. The impact of CS goes far beyond compression and classical signal processing. Whenever acquiring/inverting data/information is difficult, dangerous, or expensive, it is possible 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 electromagnetic problems almost always leading to striking results that significantly advance the state‐of‐the‐art.
- Day 1: CS Introduction and Theoretical Basis
- Day 2: Applications of CS in Antenna Design and Engineering
- Day 3: Applications of CS in Inverse Problems and Imaging
- Day 4: Further Issues & Advanced Topics in CS