New Coefficients of the Minority Carrier Lifetime and Bandgap Narrowing Models in the Transparent Emitter of Thin Film Silicon Solar Cells

Autor: M. Benosman, A. Zerga, F. Dujardin, B. Benyoucef, J-P. Charles

Publikováno v: Active and Passive Electronic Components, Vol 24, Iss 3, Pp 141-153 (2001)

In this study we have determined new coefficients for the physical model describing the band-gap narrowing and the minority carriers lifetime. This was accomplished according to the doping level of the thin emitter. This model allows us to take into

Externí odkaz: https://doaj.org/article/5ab5730a2e2a48f6a2223dd9306a8cbf

Low Complexity Neural Network Based Digital Predistortion for Memory Power Amplifier

Autor: Hmaied Shaiek, Yassine Bendimerad, Daniel Roviras, Meryem M. Benosman, Fethi Tarik Bendimerad, Rafik Zayani

Publikováno v: Mobile, Secure, and Programmable Networking. MSPN 2020
The 6th International Conference on Mobile, Secure and Programmable Networking
The 6th International Conference on Mobile, Secure and Programmable Networking, Oct 2020, Paris, France. ⟨10.1007/978-3-030-67550-9_16⟩
Mobile, Secure, and Programmable Networking ISBN: 9783030675493
MSPN

Digital Predistortion (DPD) is an effective technique for Power Amplifier (PA) non-linear distortion and memory effects compensation. Different topoligies of DPD are presented in the literature. In this paper, we propose a mimetic neural network base

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::762962b353d846f5b9e3386b1f94b7af
https://hal-cnam.archives-ouvertes.fr/hal-03348938

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Preface

Autor: M. Benosman

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::af66e56c8161ea950014ace178d9f9e7
https://doi.org/10.1016/b978-0-12-803136-0.09997-8

STRONG REAL-TIME QRS COMPLEX DETECTION

Autor: Mourad-M Benosman, Göran Salerud, Fethi Bereksi-reguig

Publikováno v: Journal of Mechanics in Medicine and Biology. 17:1750111

Heart rate variability (HRV) analysis is used as a marker of autonomic nervous system activity which may be related to mental and/or physical activity. HRV features can be extracted by detecting QRS complexes from an electrocardiogram (ECG) signal. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cce50708318e4e1ccbd56b9586bd9955
https://doi.org/10.1142/s0219519417501111