Zobrazeno 1 - 10
of 169
pro vyhledávání: '"Soussen, Charles"'
Autor:
Pasillas-Lépine, William, Tuffet, Samuel, Soussen, Charles, Gendreau, Ségolène, Boujelben, Mohamed Ahmed, Mekontso-Dessap, Armand, Carteaux, Guillaume
Publikováno v:
In Biomedical Signal Processing and Control July 2024 93
Autor:
Marchal, Antoine, Miville-Deschenes, Marc-Antoine, Orieux, Francois, Gac, Nicolas, Soussen, Charles, Lesot, Marie-Jeanne, d'Allonnes, Adrien Revault, Salome, Quentin
Publikováno v:
A&A 626, A101 (2019)
Extracting the multiphase structure of the neutral interstellar medium (ISM) is key to understand the star formation in galaxies. The radiative condensation of the diffuse warm neutral medium producing a thermally unstable lukewarm medium and a dense
Externí odkaz:
http://arxiv.org/abs/1905.00658
This paper presents new theoretical results on sparse recovery guarantees for a greedy algorithm, Orthogonal Matching Pursuit (OMP), in the context of continuous parametric dictionaries. Here, the continuous setting means that the dictionary is made
Externí odkaz:
http://arxiv.org/abs/1904.06311
3D extended field of views (FOVs) of the internal bladder wall facilitate lesion diagnosis, patient follow-up and treatment traceability. In this paper, we propose a 3D image mosaicing algorithm guided by 2D cystoscopic video-image registration for o
Externí odkaz:
http://arxiv.org/abs/1607.04773
Publikováno v:
In Applied and Computational Harmonic Analysis March 2021 51:374-413
Publikováno v:
Novel Optical Instrumentation for Biomedical Applications, 737118 (10 July 2009)
Bladder cancer is widely spread in the world. Many adequate diagnosis techniques exist. Video-endoscopy remains the standard clinical procedure for visual exploration of the bladder internal surface. However, video-endoscopy presents the limit that t
Externí odkaz:
http://arxiv.org/abs/1504.07901
Publikováno v:
IEEE Transactions on Signal Processing, vol. 63, no. 13, Jul. 2015, pp. 3301-3316
Sparse signal restoration is usually formulated as the minimization of a quadratic cost function $\|y-Ax\|_2^2$, where A is a dictionary and x is an unknown sparse vector. It is well-known that imposing an $\ell_0$ constraint leads to an NP-hard mini
Externí odkaz:
http://arxiv.org/abs/1406.4802
We propose extended coherence-based conditions for exact sparse support recovery using orthogonal matching pursuit (OMP) and orthogonal least squares (OLS). Unlike standard uniform guarantees, we embed some information about the decay of the sparse v
Externí odkaz:
http://arxiv.org/abs/1401.7533
Publikováno v:
In Signal Processing May 2019 158:48-60
We address the exact recovery of the support of a k-sparse vector with Orthogonal Matching Pursuit (OMP) and Orthogonal Least Squares (OLS) in a noiseless setting. We consider the scenario where OMP/OLS have selected good atoms during the first l ite
Externí odkaz:
http://arxiv.org/abs/1211.7283