Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zouhour Ben Ahmed"'
Autor:
Zouhour Ben Ahmed, Nabil Derbel
Publikováno v:
International Journal of Mathematical Models and Methods in Applied Sciences. 16:140-145
In this paper, we propose tensorbased methods for identifying nonlinear Parallel- Cascade Wiener (PCW) systems. Parameters of linear subsystems are first estimated using an approach based on the PARAFAC decomposition of the associated pth-order Volte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec8ab24cf32dbedc6f5a1acbaecd7566
https://doi.org/10.46300/9101.2022.16.23
https://doi.org/10.46300/9101.2022.16.23
Autor:
Zouhour Ben Ahmed
Publikováno v:
Analog Integrated Circuits and Signal Processing. 97:261-267
In this paper, we consider the problem of identification and predistortion of nonlinear high-power amplifier (HPA) using tensor-based methods. The HPA is modeled by a Wiener system structured as a linear time invariant system followed by memoryless n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12077c1e8d1c1df18c3881c1e64c03a4
https://doi.org/10.1007/s10470-018-1245-y
https://doi.org/10.1007/s10470-018-1245-y
Autor:
Nabil Derbel, Zouhour Ben Ahmed
Publikováno v:
Circuits, Systems, and Signal Processing. 37:2852-2865
In this paper, we propose tensor-based methods for identifying nonlinear communication Wiener channels. In a first step, parameters of linear subchannel are estimated using two different approaches based on the PARAFAC decomposition of the associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::992e5925e6f24f1955754030f1a1dd74
https://doi.org/10.1007/s00034-017-0690-7
https://doi.org/10.1007/s00034-017-0690-7
Autor:
Zouhour Ben Ahmed, Nabil Derbel
Publikováno v:
SDD
Volterra models are very useful for representing nonlinear systems with vanishing memory. The main drawback is their parametric complexity. In this paper, we present a new class of Volterra models, called Volterra-Parafac models, with a reduced param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c527426459ff23420fa43df88a66caf7
https://doi.org/10.1109/ssd.2017.8166907
https://doi.org/10.1109/ssd.2017.8166907
Publikováno v:
2015 7th International Conference on Modelling, Identification and Control (ICMIC).
Volterra models can be used to represent a nonlinear systems with vanishing memory. The main drawback of these models is their huge number of parameters to be estimated. To reduce this parametric complexity, we can consider Volterra kernels of order
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6147e57c076d2436eb59f6ade9757bdd
https://doi.org/10.1109/icmic.2015.7409360
https://doi.org/10.1109/icmic.2015.7409360
Publikováno v:
SSD
In this paper, we propose tensor-based methods for identifying nonlinear communication channels of Wiener and Hammerstein. For a Wiener channel, the parameters of linear subchannel are estimated using two different approaches based on the PARAFAC dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0404ccf8fc9aeb8aa8d464d8c47797f6
https://doi.org/10.1109/ssd.2015.7348170
https://doi.org/10.1109/ssd.2015.7348170
Publikováno v:
SSD
International audience; In this paper, we propose tensor-based methods for identifying nonlinear Wiener-Hammerstein (W-H) systems. In a first step, the parameters of the linear subsystems are estimated using two different approaches based on the PARA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f43dde220d812e1fbee377fdf89e586d
https://doi.org/10.1109/ssd.2013.6564100
https://doi.org/10.1109/ssd.2013.6564100