MP1: Structured Sparsity for Compressed Sensing Problems |
| Session Type: Poster |
| Time: Monday, December 16, 10:20 - 12:20 |
| Location: Terrace |
| Session Chairs: Marius Pesavento, Technische Universität Darmstadt and Martin Haardt, TU Ilmenau |
| MP1.1: STRUCTURED DICTIONARY OPTIMIZATION: APPLICATION TO THE MODULATED WIDEBAND CONVERTER |
| Hassan Mortada, Olivier Rabaste, Jonathan Bosse, ONERA, France |
| MP1.2: A NOVEL SENSING MATRIX DESIGN FOR COMPRESSED SENSING VIA MUTUAL COHERENCE MINIMIZATION |
| Khaled Ardah, Communications Research Laboratory (CRL), Ilmenau University of Technology, Germany; Marius Pesavento, Communication Systems Group, TU Darmstadt, Germany; Martin Haardt, Communications Research Laboratory (CRL), Ilmenau University of Technology, Germany |
| MP1.3: AN ADAPTIVE BAYESIAN FRAMEWORK FOR RECOVERY OF SOURCES WITH STRUCTURED SPARSITY |
| Ali Bereyhi, Ralf R. Müller, Friedrich-Alexander Universität, Germany |
| MP1.4: IDENTIFYING DECAYING SINUSOIDAL MODES USING SIGNED MEASUREMENTS |
| Maria Juhlin, Andreas Jakobsson, Lund University, Sweden |
| MP1.5: UNDERSTANDING SAMPLE COMPLEXITIES FOR STRUCTURED SIGNAL RECOVERY FROM NON-LINEAR MEASUREMENTS |
| Pulak Sarangi, Mehmet Can Hucumenoglu, Piya Pal, University of California, San Diego, United States |