Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Anissa Mokraoui"'
Autor:
Anissa Mokraoui, Pierre Duhamel
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2009 (2009)
This paper investigates the mathematical background of multiresolution analysis in the specific context where the signal is represented by irregularly sampled data at known locations. The study is related to the construction of nested piecewise polyn
Externí odkaz:
https://doaj.org/article/07faeecd88014fa6b1a8b40f20d22118
Publikováno v:
2022 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA).
Autor:
Pierre Le Jeune, Anissa Mokraoui
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
Publikováno v:
Signal, Image and Video Processing. 14:1143-1151
A stereoscopic image consists of two views rendering a depth sense. Indeed each eye is constrained to look at one view, and the small objects displacements across the two views are interpreted as an indication of depth. These displacements are exploi
Publikováno v:
IET Communications. 13:3452-3462
This study deals with semi-blind (SB) channel estimation of multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) system using maximum likelihood (ML) technique. For the ML cost optimisation function, new expectation m
Publikováno v:
IET Communications. 13:3479-3488
Channel estimation, which is a key task in massive multiple-input multiple-output orthogonal-frequency division-multiplexing systems (MIMO-OFDM), is severely affected by the problem of pilot contamination during the uplink transmission. Thus, the aim
Publikováno v:
Journal of Visual Communication and Image Representation. 58:589-599
This paper proposes a Tone Mapping (TM) approach converting a High Dynamic Range (HDR) image into a Low Dynamic Range (LDR) image while preserving as much information of the HDR image as possible to ensure a good LDR image visual quality. This approa
Publikováno v:
Digital Signal Processing
Digital Signal Processing, Elsevier, 2021
Digital Signal Processing, Elsevier, 2021
Nonlinear distortions are important issues in many communications systems. Therefore, this paper deals with the blind and semi-blind identification of nonlinear SIMO/MIMO channels. Quadratic and cubic nonlinearities are considered for the system mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa3568b52469efcb82b768b784f9fd88
https://hal.archives-ouvertes.fr/hal-03337919
https://hal.archives-ouvertes.fr/hal-03337919
Publikováno v:
SPA
This paper is concerned with Magnetic Resonance (MR) brain image segmentation using Adaptively Regularized Kernel-Based Fuzzy C-Means (ARKFCM) clustering algorithm. However this algorithm is sensitive to the random initialization of the clusters’ c
Publikováno v:
SPA
Dynamic Adaptive Streaming over HTTP (DASH) is a largely used video streaming technique. One key point is its adaptation mechanism which resides at the client’s side. This allows various context-aware adaptation strategies in order to optimize the