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CS-ORION - Welcome

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. FP7 MC-IAPP, project no. 251605) is a 48 month Marie Curie Industry-Academia Partnerships and Pathways (IAPP) project which started in September 2010, and is funded by the European Commission under Call FP7-PEOPLE-2009-IAPP in FP7.

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CS-ORION - Welcome | cs-orion.eu Reviews
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Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. FP7 MC-IAPP, project no. 251605) is a 48 month Marie Curie Industry-Academia Partnerships and Pathways (IAPP) project which started in September 2010, and is funded by the European Commission under Call FP7-PEOPLE-2009-IAPP in FP7.
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1 partners
2 summary
3 technical approach
4 work packages
5 achievements
6 publications
7 private
8 contract info
9 welcome to cs orion
10 cs orion
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CS-ORION - Welcome | cs-orion.eu Reviews

https://cs-orion.eu

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. FP7 MC-IAPP, project no. 251605) is a 48 month Marie Curie Industry-Academia Partnerships and Pathways (IAPP) project which started in September 2010, and is funded by the European Commission under Call FP7-PEOPLE-2009-IAPP in FP7.

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CS-ORION - Summary

http://www.cs-orion.eu/summary.html

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. Besides, sampling, a key concept of signal acquisition, still follows the long-term paradigm dictated by the classical Shannon/Nyquist theorem, which specifies that to avoid losing information when capturing a signal, we must sample at least twice faster than the signal bandwidth. But at the dawn of the new millennium, the theory of.

2

CS-ORION - Partners

http://www.cs-orion.eu/partners.html

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. Foundation for Research and Technology - Hellas (FORTH). Statistical signal processing, Bayesian compressed sensing. Commissariat à l'Énergie Atomique (CEA). Sparse image and signal processing, source separation, morphological diversity, restoration, statistical methods in astrophysics. Sagem Défense Sécurité (SAGEM). Virtual Trip, Ltd. (VTRIP).

3

CS-ORION - Achievements

http://www.cs-orion.eu/achvm_1.html

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. Compressive Video Sensing and Classification. Compressed Gated Range Sensing (CGRS). Compressed Sensing and Sparsity in Imaging. Compressed Sensing in Localization. Fundamentals of CS Acquisition and Reconstruction. George Tzagkarakis, Arnaud Woiselle , Panagiotis Tsakalides. George Tzagkarakis, Grigorios Tsagkatakis, Jean-Luc Starck.

4

CS-ORION - Work Packages

http://www.cs-orion.eu/wps.html

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. S work plan is divided into six work packages with the following objectives:. WP1 - Project Management:. This work package performs the overall project management and coordination; constant monitoring and steering of the R&D work to achieve the project goals; and ensures the proper and timely execution of all administrative and financial tasks. The objectives of this ...

5

CS-ORION - Technical Approach

http://www.cs-orion.eu/tech_app.html

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. Our approach is to employ compressed sensing signal acquisition principles and Bayesian reconstruction methods so as to address the need for novel video compression techniques that can achieve good performance with a computationally light encoder, possibly shifting some of the system complexity to the decoder. Without sensitivity loss), provided the signal is sparse i...

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Projects | CosmoStat

http://www.cosmostat.org/project

An AIM laboratory @CEA Saclay. Joint Planck PR1 WMAP CMB Map. Joint Planck PR2 WMAP CMB map. Galaxy colour component separation. PSF estimation and images restoration. Jean-Luc Starck, Head of CosmoStat. Jerome Bobin, co-head of CosmoStat. Sparse BSS with GMCALab. Non-negative matrix factorization with nGMCA. WMAP9 Point Source Free Map. Euclid CEA - IAP meetings. Euclid WL 2p-stat meeting. Machine learning day at SAp. RAS discussion meeting on Cosmology with Maps. How to get to SAp. Develop tools for an...

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CS-ORION - Welcome

Project funded by the E.C. under. The 7th Framework Program. Compressed Sensing for Remote Imaging in Aerial and Terrestrial Surveillance. FP7 MC-IAPP, project no. 251605) is a 48 month Marie Curie Industry-Academia Partnerships and Pathways (IAPP) project which started in September 2010, and is funded by the European Commission under Call FP7-PEOPLE-2009-IAPP in FP7.

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