DagRep.1.1.108.pdf
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Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051)
Authors and all authors of the abstracts in this report
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Issue:
Dagstuhl Reports, Volume 1, Issue 1
Volume: Dagstuhl Reports, Volume 1
Journal: Dagstuhl Reports (DagRep) - License:
Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license
- Publication Date: 2011-06-06
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Stephan Dahlke, Michael Elad, Yonina Eldar, Gitta Kutyniok, and Gerd Teschke. Sparse Representations and Efficient Sensing of Data (Dagstuhl Seminar 11051). In Dagstuhl Reports, Volume 1, Issue 1, pp. 108-127, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)
https://doi.org/10.4230/DagRep.1.1.108
https://doi.org/10.4230/DagRep.1.1.108
Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 11051 ``Sparse Representations and Efficient Sensing of Data''.
The scope of the seminar was twofold.
First, we wanted to elaborate the state of the art in
the field of sparse data representation and corresponding efficient data sensing methods.
Second, we planned to explore and analyze the impact of methods in computational science disciplines that serve these fields, and the possible resources allocated for industrial applications.
Keywords
- Efficient signal sensing schemes
- sparse signal representations
- efficient signal reconstruction algorithms
- impact of the methods in neighboring research fields and applications
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