Technical Talk : Compressive Sensing – Theory and Applications in Communications and Big Data | 17 May 2016
Date : 17 May 2016 (Tuesday)
Time : 9:00am – 1:00pm
Venue : Dewan Taklimat, Level 2, Tower Block, Faculty of Engineering, UPM
This tutorial covers theory and applications of compressive sensing to modern information processing systems, focusing on large-scale, distributed information processing and big data. The tutorial first gives a detailed overview of compressive sensing theory, including its motivations, the main theoretical results and the most significant application areas. Then, it surveys a few new applications to scenarios where compressive sensing can provide a significant performance boost. In particular, the tutorial will describe compressive sensing applications in the framework of low-power distributed systems and sensor networks, applications to big data including large-scale camera identification for image copyright protection in social media sites, the use of compressing sensing as an encryption layer, and the use of the sparsity model for indoors localization.
Speaker: Assoc. Prof. Enrico Magli