Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Abdelghani Ghazdali"'
Publikováno v:
RAIRO - Operations Research. 56:2999-3015
Whenever there is a mixture of signals of any type, e.g. sounds, images or any other form of source signals, Blind Source Separation (BSS) is the method utilized to separate these signals from the observations. The separation is done without any prio
Publikováno v:
Circuits, Systems, and Signal Processing. 40:4428-4451
Blind Source Separation (BSS) has always been an active research field within the signal processing community; it is used to reconstruct primary source signals from their observed mixtures. Independent Component Analysis has been and is still used to
Publikováno v:
Applied Mathematical Modelling. 87:446-467
The main idea of multi-frame super-resolution (SR) algorithm is to recover a single high-resolution (HR) image from a sequence of low resolution ones of the same scene. Since the restoration step of super-resolution algorithms is always an ill-posed
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030834418
The framework of this chapter is to introduce a new efficient Blind Source Separation (BSS) method that handles mixtures of noise contaminated independent/dependent sources. This approach is based on the minimization of a regularized criterion. Speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae07338360a8345d806a8e9ad40d5bdb
https://doi.org/10.1007/978-3-030-83442-5_10
https://doi.org/10.1007/978-3-030-83442-5_10
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030834418
In this chapter, we will be introducing a new efficient Blind Source Separation (BSS) method that handles mixtures of independent and dependent sources. In order to achieve that, we minimize a criterion based on Kullback-Lebiler divergence to set apa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e4b2a661ea7af5af85af5fb5f695617
https://doi.org/10.1007/978-3-030-83442-5_11
https://doi.org/10.1007/978-3-030-83442-5_11
Publikováno v:
Discrete & Continuous Dynamical Systems - S. 15:i
Publikováno v:
IET Image Processing. 12:928-940
Here, the authors propose a spatially weighted super-resolution (SR) algorithm, which takes into consideration the distribution of every information that characterise different image areas. The authors investigate to use a combined spatially weighted
Publikováno v:
European Signal Processing Conference (EUSIPCO)
European Signal Processing Conference (EUSIPCO), 2019, A Coruna, Spain. pp.1-5, ⟨10.23919/EUSIPCO.2019.8902639⟩
EUSIPCO
European Signal Processing Conference (EUSIPCO), 2019, A Coruna, Spain. pp.1-5, ⟨10.23919/EUSIPCO.2019.8902639⟩
EUSIPCO
In this paper, we introduce a new convolutive blind source separation approach for independent/dependent source components. The proposed approach represents an efficient tool for separating linear convolutive mixing models, especially, when the sourc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4b02c1ce30ac0273a15cb2454b49bf6
https://hal.archives-ouvertes.fr/hal-02737571
https://hal.archives-ouvertes.fr/hal-02737571
Publikováno v:
Journal of Physics: Conference Series. 1743:012034
In the last few decades, digital image degradation issues, such as blur and noise due to the scanning process or the presence of spots, underwriting, overwriting or bleed-through/show-through effects on the image’s background has been a popular res
Publikováno v:
Journal of Physics: Conference Series. 1743:012018
Blind Source Separation (BSS) was originally developed for signal processing applications. It has been proven out that Independent Component Analysis (ICA) which is the technique used for separating independent sources, is a powerful tool for analyzi