Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Marie Lasserre"'
Autor:
Marie Lasserre
A partir d’une approche anthropologique, cet article explore les relations d’enquête développées avec des Sénégalaises migrantes qui travaillent en tant que vendeuses ambulantes sur le marché de la Médina de Casablanca. L’article étudie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f859a351cf458d7344b39cdadf94fb9
http://journals.openedition.org/urmis/2022
http://journals.openedition.org/urmis/2022
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems, 55(1)
The problem considered is that of estimating unambiguously migrating targets observed with a wideband radar. We extend a previously described sparse Bayesian algorithm to the presence of diffuse clutter and off-grid targets. A hybrid-Gibbs sampler is
Publikováno v:
Compressive Sensing of Earth Observations ISBN: 9781315154626
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dffb4ca1f7ab142abe00134f92d1e3c
https://doi.org/10.1201/9781315154626-7
https://doi.org/10.1201/9781315154626-7
Publikováno v:
2017 IEEE Radar Conference (RadarConf).
In this paper, we consider the problem of unambiguously estimating targets, including in blind velocities, using a single-low-PRF wideband radar signal. We present a Bayesian sparse recovery algorithm able to estimate the amplitude and location of ra
Publikováno v:
SSP
Within the scope of sparse signal representation, we consider the problem of velocity ambiguity mitigation for wideband radar signal. We present a Bayesian robust algorithm based on a new sparsifying dictionary suited for range-migrating targets poss
Publikováno v:
IEEE Transactions on Signal Processing, 64(17)
In this paper, we consider the problem of estimating a signal of interest embedded in noise using a sparse signal representation (SSR) approach. This problem is relevant in many radar applications. In particular, estimating a radar scene consisting o
Publikováno v:
2015 3rd International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing (CoSeRa).
We consider the problem of estimating a finite number of atoms from a dictionary embedded in white noise, using a sparse signal representation (SSR) approach, a problem which is relevant in many radar applications. In particular, the estimation of a
The problem considered is the estimation of a finite number of cisoids embedded in white noise, using a sparse signal representation (SSR) approach, a problem which is relevant in many radar applications. Many SSR algorithms have been developed in or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::197842045ff95c7ba1fb4efe2b93860f
https://oatao.univ-toulouse.fr/13331/
https://oatao.univ-toulouse.fr/13331/
Publikováno v:
Web of Science
In this paper, we study the problem of estimating the target scene via a signal sparse representation (SSR) scheme in the range-Doppler domain. As compared to a range-gate by range-gate SSR analysis, this bidimensional approach can take into account
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6668a953403691cc48d6bdb0db720f0d
https://oatao.univ-toulouse.fr/22991/
https://oatao.univ-toulouse.fr/22991/