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» All Courses » COMPRESSIVE SENSING AS APPLIED TO ELECTROMAGNETICS
COMPRESSIVE SENSING AS APPLIED TO ELECTROMAGNETICS
Compressive sensing (CS) is a fundamentally interdisciplinary topic, with interplay between applied/pure mathematics and engineering serving to fertilize new 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, CS 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 electromagnetic problems almost always leading to striking results that signifi cantly advance the state‐of‐the‐art.

The course, after reviewing basics and fundamentals of CS, will focus on state‐of‐the‐art and most recently introduced CS‐based techniques and algorithms, discussing capabilities, limitations, and perspectives in the following topics: Antenna Synthesis and Design, Antenna Measurements, Adaptive Antennas & Antenna Signal Processing, Inverse Scattering and Microwave Imaging. Applicative examples including exercises and talks regarding specific applications will corroborate the developed concepts.

Course schedule: a total of 21 hours scheduled as follows
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

Prerequisites:Basics of Mathematical Analysis, Electromagnetics and Antenna Theory

Availability: 30+ students

Student grant information: Please visit the dedicated webpage

How to reach: The Course will take place in the Department of Electronic Engineering of the Tsinghua University, Tsinghua University Campus, Beijing, China ( details on the venue)
For quick reference on how to get the Tsinghua University Campus, please visit the travel info page

Accommodation: Students accommodation is not included in the course fee.
Please visit the following page for information about on-campus and off-campus accommodations in Beijing.

Further Information:
Please visit the course website for updates and additional info.

Responsibles:
Andrea MASSA (ELEDIA Research Center HQ, University of Trento, Italy)
Tommaso ISERNIA (LEMMA Group, Università Mediterranea di Reggio Calabria, Italy)

Location: Tsinghua University Campus, 1 Tsinghua Yuan, Haidian District, Beijing 100084, China
Date: 10/10/2017 - 13/10/2017
Contact Person:    Prof. Andrea MASSA      E-mail:  andrea.massa@unitn.it
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