Investigating signals with respect to sparsity, bandwidth, dynamics, and statistical behaviour, random sampling in a compressed sensing fashion, and an algorithmic reconstruction of the original signal forms the focus of the Priority Programme.

Project proposals for the second period are invited to the following areas:

• using statistical prior information for compressed sensing
• quantisation in compressed sensing
• measurement design for compressed sensing
• reconstruction algorithms for compressed sensing
• compressed sensing-type approaches to deep learning
• low rank matrix recovery and matrix completion in signal processing

Termin: 15.11.2017 (proposals), 01.11.2017 (registration)
Adresse: DFG, Kennedyallee 40, 53175 Bonn
Kontakt: Dr.-Ing. Damian Dudek, Tel.: 0228/885-2573, damian.dudek@dfg.de, Marcus Rosenstein, Tel.: 0228/885-2296, marcus.rosenstein@dfg.de
Weitere Informationen: Ausschreibung