Compressed Sensing, Extensions and Applications - Part I of III
For Part II, see MS-Mo-E-05
For Part III, see MS-Tu-D-05

Date: August 10
Time: 13:30--15:30
Room: 215

(Note: Click title to show the abstract.)

Kutyniok, Gitta (Technische Universität Berlin)
Holger, Rauhut (RWTH Aachen Univ.)

Abstract: Compressed sensing has seen an enormous research activity in recent years. The key principle is that (approximately) sparse signals can be recovered efficiently from what was previously believed to be vastly incomplete information. For this reason, compressed sensing and its algorithms (often convex optimization approaches) have a large range of applications such as magnetic resonance imaging, radar, wireless communications, and more. Remarkably, all provably optimal measurement schemes are based on randomness and therefore, compressed sensing connects various mathematical fields such as random matrix theory, optimization, approximation theory, and harmonic analysis. Recent developments have extended the theory and its algorithms to the recovery of low rank matrices from incomplete information, to the phaseless estimation problem, and to low tensor recovery. The minisymposium aims at bringing together experts in the field and to provide an overview of its most recent results.

Almost lossless and stable analog signal separation
Stotz, David (ETH Zurich)
Boelcskei, Helmut (ETH Zurich)

Function approximation via infinite-dimensional weighted l^1 minimization
Adcock, Ben (Simon Fraser Univ.)

Phase retrieval via Wirtinger Flow: Theory and Algorithms
Li, Xiaodong (Univ. of Pennsylvania)

Fast Phase Retrieval for High-Dimensions
Iwen, Mark (Michigan State Univ.)


Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA