Optimal Bounding Ellipsoid Algorithms for adaptive blind equalizations over AWGN and multipath fading Channels

Autor: A. Moussa, M. Pouliquen, M. Frikel, S. Bedoui, K. Abderrahim, M. M’Saad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0eace34b85078b88c6825f1fe10b1ee5
https://doi.org/10.1515/9783110594003-002

English Spoken Digits Database under noise conditions for research: SDDN

Autor: A. Ouisaadane, S. Safi, M. Frikel

Publikováno v: 2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS)
2019 International Conference on Wireless Technologies, Embedded and Intelligent Systems (WITS), Apr 2019, Fez, Morocco. pp.1-5, ⟨10.1109/WITS.2019.8723698⟩

International audience; In this paper, we introduce a modified database for English spoken digits under all types of noise conditions (SDDN). This database was designed for use in scientific research, especially in the field of speech enhancement, no

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd5d911105500ced949b0e9be21ab3d3
https://doi.org/10.1109/wits.2019.8723698

Blind equalization of OFDM systems based an optimal bounding ellipsoid under different channels

Autor: Saida Bedoui, Kamel Abderrahim, M. Frikel, A. Moussa, Mathieu Pouliquen, Mohammed M'Saad

Publikováno v: 2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)
2017 18th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Dec 2017, Monastir, France. ⟨10.1109/STA.2017.8314932⟩

In this paper, we propose a frequency recursive blind equalization algorithm of data in orthogonal frequency division multiplexing (OFDM) system using a cyclic prefix. The proposed algorithm is based on a Set Membership identification methods. More p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ced7a2f467ee5657b53c4358cccf0b8
https://hal-normandie-univ.archives-ouvertes.fr/hal-01821110

Performance of a blind equalization algorithm for Rayleigh and Rician channels

Autor: Kamel Abderrahim, Mohammed M'Saad, M. Frikel, Saida Bedoui, Mathieu Pouliquen, A. Moussa

Publikováno v: 2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)
2016 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Dec 2016, Sousse, France. ⟨10.1109/STA.2016.7952020⟩

International audience; This document surveys the blind equalization issue. Our approach is based on the reformulation of the equalization problem in an identification problem in existence of limited noise. The objective of the proposed method is to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6ca129e3d06d6b8f2987010202d4f89
https://doi.org/10.1109/sta.2016.7952020

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