Raghay, Said
Overview
Works: | 6 works in 8 publications in 2 languages and 40 library holdings |
---|---|
Roles: | Editor, Other, Contributor |
Classifications: | QA911, 518.25 |
Publication Timeline
.
Most widely held works by
Said Raghay
Finite volumes for complex applications IV by International Symposium on Finite Volumes for Complex Applications(
Book
)
3 editions published in 2005 in English and held by 32 WorldCat member libraries worldwide
3 editions published in 2005 in English and held by 32 WorldCat member libraries worldwide
Semantic Q&A System on the Qur'an by Aimad Hakkoum(
)
1 edition published in 2016 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2016 in English and held by 2 WorldCat member libraries worldwide
DBAHCL: database for Arabic handwritten characters and ligatures by Nidal Lamghari(
)
1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2017 in English and held by 2 WorldCat member libraries worldwide
Collaborating filtering using unsupervised learning for image reconstruction from missing data by Oumayma Banouar(
)
1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide
1 edition published in 2018 in English and held by 2 WorldCat member libraries worldwide
Utilisation des Copules en Séparation Aveugle de Sources Indépendantes/Dépendantes by
Nezha Mamouni(
)
1 edition published in 2020 in French and held by 1 WorldCat member library worldwide
The problem of Blind Source Separation (BSS) consists in retrieving unobserved mixed signals from unknown mixtures of them, where there is no, or very limited, information about the source signals and/or the mixing system. In this thesis, we present algorithms in order to separate instantaneous and convolutive mixtures. The principle of these algorithms is to minimize, appropriate separation criteria based on copula densities, using descent gradient type algorithms. These methods can magnificently separate instantaneous and convolutive mixtures of possibly dependent source components even when the copula model is unknown
1 edition published in 2020 in French and held by 1 WorldCat member library worldwide
The problem of Blind Source Separation (BSS) consists in retrieving unobserved mixed signals from unknown mixtures of them, where there is no, or very limited, information about the source signals and/or the mixing system. In this thesis, we present algorithms in order to separate instantaneous and convolutive mixtures. The principle of these algorithms is to minimize, appropriate separation criteria based on copula densities, using descent gradient type algorithms. These methods can magnificently separate instantaneous and convolutive mixtures of possibly dependent source components even when the copula model is unknown
Finite volumes for complex application IV : problems and perspectives by Finite volumes for complex applications(
Book
)
1 edition published in 2005 in English and held by 1 WorldCat member library worldwide
1 edition published in 2005 in English and held by 1 WorldCat member library worldwide
Audience Level
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General | Special |

- Benkhaldoun, Fayssal Editor
- Ouazar, D. Editor
- SpringerLink (Online service) Other
- Hakkoum, Aimad Author
- Mohaoui, Souad
- Lamghari, Nidal Author
- Banouar, Oumayma Author
- Mboup, Mamadou Opponent
- Ecole doctorale Sciences du Numérique et de l'Ingénieur (Reims, Marne) Other
- Université Cadi Ayyad (Marrakech, Maroc) Faculté des sciences et techniques Guéliz Other
Associated Subjects