Coordinatore | UNIVERSITAET BREMEN
Organization address
city: Bremen contact info |
Nazionalità Coordinatore | Germany [DE] |
Totale costo | 2˙529˙751 € |
EC contributo | 1˙958˙971 € |
Programma | FP7-ICT
Specific Programme "Cooperation": Information and communication technologies |
Code Call | FP7-ICT-2009-C |
Funding Scheme | CP |
Anno di inizio | 2010 |
Periodo (anno-mese-giorno) | 2010-09-01 - 2013-08-31 |
# | ||||
---|---|---|---|---|
1 |
UNIVERSITAET BREMEN
Organization address
city: Bremen contact info |
DE (Bremen) | coordinator | 0.00 |
2 |
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
Organization address
address: RUE MICHEL -ANGE contact info |
FR (PARIS) | participant | 0.00 |
3 |
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Organization address
address: BATIMENT CE 3316 STATION 1 contact info |
CH (LAUSANNE) | participant | 0.00 |
4 |
EUROPEAN RESEARCH SERVICES GMBH
Organization address
address: ROENTGENSTRASSE contact info |
DE (MUENSTER) | participant | 0.00 |
5 |
FACHHOCHSCHULE ASCHAFFENBURG
Organization address
address: WURZBURGER STRASSE contact info |
DE (ASCHAFFENBURG) | participant | 0.00 |
6 |
GENESIS S. A.
Organization address
address: Domaine du Petit Arbois contact info |
FR (AIX EN PROVENCE) | participant | 0.00 |
7 |
SAGIVTECH LTD
Organization address
address: ELIEZER YAFE contact info |
IL (RA ANANA) | participant | 0.00 |
8 |
Steinbeis Innovation gGmbH
Organization address
address: WILLI BLEICHER STRASSE contact info |
DE (STUTTGART) | participant | 0.00 |
9 |
TEL AVIV UNIVERSITY
Organization address
address: RAMAT AVIV contact info |
IL (TEL AVIV) | participant | 0.00 |
10 |
UNIVERSITAET WIEN
Organization address
address: UNIVERSITATSRING contact info |
AT (WIEN) | participant | 0.00 |
11 |
UNIVERSITE D'AIX MARSEILLE
Organization address
address: Boulevard Charles Livon contact info |
FR (Marseille) | participant | 0.00 |
Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.
Algorithms in signal and image processing have reached an impressive level of sophistication and computing power still increases at an exponential rate. However, high-tech applications have an ever-increasing demand for even more efficient algorithms, even more powerful computers and new concepts for advancing applications.nStarting from a recently discovered gap in the theory of uncertainty principles, this project aims at developing a framework for constructing problem adapted, ultra-efficient algorithms concerning (de-)coding and analyzing/synthesizing signals/images. We expect, that this will allow us to tackle complex applications in life sciences and ultra precise audio signal processing which presently cannot be solved appropriately with existing algorithms on existing computers.nThe key for developing these algorithms is a representation of signals and images by function systems, which satisfy the following requirements:n1.tOptimal localization,n2.tEfficient discretization.nThe theoretical foundation of this approach is based on the definition of suitable localization measures in generalized phase spaces and the construction of minimizing waveforms. These waveforms are then the basic building blocks in discretization schemes.nWe expect that this approach allows us to shift the limits of the efficiency vs. precision paradigm considerably. The efficiency of an abstract algorithm has to be evaluated in connection with the computer hardware (parallelization, data exchange, storage) used. Accordingly, our proof of principle includes implementations of baseline algorithms as well as of advanced GPU implementations.nAs final proof of principle we apply these methods for two challenging applications in audio signal design and life sciences (proteomics). The evaluation will be done by our industrial consortium partners together with our advisory board consisting of one SME, one world market leader and two internationally highly recognized scientific experts.