Programme: DFG – Priority Programme “Compressed Sensing in Information Processing (CoSIP)” (SPP 1798)

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MIL OSI – Source: TU Berlin –

Headline: Programme: DFG – Priority Programme “Compressed Sensing in Information Processing (CoSIP)” (SPP 1798)

Montag, 14. August 2017…”compressed sensing follows the paradigm that a sparse signal may be sampled far below the Nyquist rate, but nevertheless perfectly recovered. Compressed sensing relies on three salient principles: sparsity, incoherence and randomness. Sparsity refers to the idea that the information rate of a signal is much smaller than expected from its bandwidth, so that the signal may be represented by a small number of elements in a proper representation system. Incoherence expresses the concept that signals with a sparse representation are spread out in the sampling domain. Finally, perfect recovery can be mathematically guaranteed with high probability under the assumption that the measurements are selected at random. […]
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 areasusing statistical prior information for compressed sensingquantisation in compressed sensingmeasurement design for compressed sensingreconstruction algorithms for compressed sensingcompressed sensing-type approaches to deep learninglow rank matrix recovery and matrix completion in signal processing[…]The on-site report colloquium as well as the review colloquium for the Priority Programme will be held on 21–23 February 2018 at Technische Universität Berlin.”…
Einreichungsfrist: 15.11.2017
Hier finden Sie die vollständige Ausschreibung.
For scientific enquiries please contact the Priority Programme coordinator:Prof. Dr. Rudolf Mathar, Rheinisch-Westfälische Technische Hochschule Aachen, Fakultät für Elektro- und Informationstechnik, Lehrstuhl für Theoretische Informationstechnik, Kopernikusstr. 16, 52074 Aachen, Tel. +49 241 80-27700, mathar@ti.rwth-aachen.de
or
Prof. Dr. Gitta Kutyniok, Technische Universität Berlin, Institut für Mathematik, Straße des 17. Juni 136, 10623 Berlin, Tel. +49 30 314-25758, kutyniok@math.tu-berlin.de
(Quelle: DFG Informationen für die Wissenschaft, Nr. 54, 14.08.2017)

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