Signal et Communications

Le département Signal & Communications est spécialisé dans le domaine des Mathématiques et Traitement de l’Information. Il s’intéresse à la fois aux aspects méthodologiques et théoriques mais également aux problèmes de mise en œuvre et des implémentations des algorithmes étudiés notamment via les techniques de radio logicielle. Les domaines d’applications concernent principalement la Mer, la Défense et les Télécommunications.


Le département Signal & Communications est composé en 2018 de quelques 54 membres dont 17 permanents.

photo_SC_2018_e.JPG

 

 

Recherche
Enseignement
Innovation
International

Les prochains événements du département

Il n'y a pas d'événement en cours ou à venir pour le département.
Les dernières publications du département
Communication dans un congrès
Hajji Zahran, Amis Cavalec Karine, Aissa El Bey Abdeldjalil
Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems
10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), Dec 2018, Honk-Kong, Hong Kong SAR China. Proceedings 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), 2018
Bibtext :
@inproceedings{hajji:hal-01893584,
TITLE = {{Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems}},
AUTHOR = {Hajji, Zahran and Amis Cavalec, Karine and Aissa El Bey, Abdeldjalil},
URL = {https://hal.archives-ouvertes.fr/hal-01893584},
BOOKTITLE = {{10th International Symposium on Turbo Codes \& Iterative Information Processing (ISTC)}},
ADDRESS = {Honk-Kong, Hong Kong SAR China},
HAL_LOCAL_REFERENCE = {19247},
PAGES = {.},
YEAR = {2018},
MONTH = Dec,
KEYWORDS = {Channel estimation ; Simplicity ; Massive MIMO ; Turbo-detection},
PDF = {https://hal.archives-ouvertes.fr/hal-01893584/file/1570474591.pdf},
HAL_ID = {hal-01893584},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems
%+ Lab-STICC_IMTA_CACS_COM
%+ Département Signal et Communications (SC)
%A Hajji, Zahran
%A Amis Cavalec, Karine
%A Aissa El Bey, Abdeldjalil
%< avec comité de lecture
%Z 19247
%( Proceedings 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC)
%B 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC)
%C Honk-Kong, Hong Kong SAR China
%P .
%8 2018-12-03
%D 2018
%K Channel estimation
%K Simplicity
%K Massive MIMO
%K Turbo-detection
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X In this paper, we address the problem of channel estimation and signal detection in large MIMO FEC-coded systems assuming finite alphabet modulations. We consider a semi-blind iterative expectation maximization algorithm which relies on a limited number of pilot sequences to initialize the estimation process. We propose to include the estimation process within a turbo finite-alphabet simplicity (FAS)-based detection receiver. To that purpose we define two estimation updates from the FEC decoder output. Simulations carried out in both determined and undetermined configurations show that the resulting scheme outperforms the state-of-the-art receiver which uses an MMSE estimation criterion and that it reaches the maximum-likelihood lower-bound.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01893584/document
%2 https://hal.archives-ouvertes.fr/hal-01893584/file/1570474591.pdf
%L hal-01893584
%U https://hal.archives-ouvertes.fr/hal-01893584
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ ENIB
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
%~ LAB-STICC_IMTA
Communication dans un congrès
Hajji Zahran, Amis Karine, Aïssa-El-Bey Abdeldjalil
Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems
10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC), Dec 2018, Hong-Kong, China
Bibtext :
@inproceedings{hajji:hal-01891355,
TITLE = {{Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems}},
AUTHOR = {Hajji, Zahran and Amis, Karine and A{\"i}ssa-El-Bey, Abdeldjalil},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01891355},
BOOKTITLE = {{10th International Symposium on Turbo Codes \& Iterative Information Processing (ISTC)}},
ADDRESS = {Hong-Kong, China},
YEAR = {2018},
MONTH = Dec,
KEYWORDS = {simplicity ; signal detection ; massive MIMO ; turbo-detection},
PDF = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01891355/file/1570474591.pdf},
HAL_ID = {hal-01891355},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systems
%+ Lab-STICC_IMTA_CACS_COM
%+ Département Signal et Communications (SC)
%A Hajji, Zahran
%A Amis, Karine
%A Aïssa-El-Bey, Abdeldjalil
%< avec comité de lecture
%B 10th International Symposium on Turbo Codes & Iterative Information Processing (ISTC)
%C Hong-Kong, China
%8 2018-12-03
%D 2018
%K simplicity
%K signal detection
%K massive MIMO
%K turbo-detection
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X In this paper, we address the problem of channel estimation and signal detection in large MIMO FEC-coded systems assuming finite alphabet modulations. We consider a semi-blind iterative expectation maximization algorithm which relies on a limited number of pilot sequences to initialize the estimation process. We propose to include the estimation process within a turbo finite-alphabet simplicity (FAS)-based detection receiver. To that purpose we define two estimation updates from the FEC decoder output. Simulations carried out in both determined and undetermined configurations show that the resulting scheme outperforms the state-of-the-art receiver which uses an MMSE estimation criterion and that it reaches the maximum-likelihood lower-bound.
%G English
%2 https://hal-imt-atlantique.archives-ouvertes.fr/hal-01891355/document
%2 https://hal-imt-atlantique.archives-ouvertes.fr/hal-01891355/file/1570474591.pdf
%L hal-01891355
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01891355
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ LAB-STICC_IMTA
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
Communication dans un congrès
Mai Van Khanh, Pastor Dominique, Aissa El Bey Abdeldjalil
Block Smoothed Sigmoid-Based Shrinkage in Time-Frequency Domain for Robust Audio Denoising
9th International Symposium on Signal, Image, Video and Communications (ISIVC), Nov 2018, Rabat, Morocco. Proceedings 9th International Symposium on Signal, Image, Video and Communications (ISIVC), 2018
Bibtext :
@inproceedings{mai:hal-01893712,
TITLE = {{Block Smoothed Sigmoid-Based Shrinkage in Time-Frequency Domain for Robust Audio Denoising}},
AUTHOR = {Mai, Van Khanh and Pastor, Dominique and Aissa El Bey, Abdeldjalil},
URL = {https://hal.archives-ouvertes.fr/hal-01893712},
BOOKTITLE = {{9th International Symposium on Signal, Image, Video and Communications (ISIVC)}},
ADDRESS = {Rabat, Morocco},
HAL_LOCAL_REFERENCE = {19255},
PAGES = {.},
YEAR = {2018},
MONTH = Nov,
KEYWORDS = {Block threshold ; Audio denoising ; Smoothed sigmoid-based shrinkage},
PDF = {https://hal.archives-ouvertes.fr/hal-01893712/file/PID5583835.pdf},
HAL_ID = {hal-01893712},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Block Smoothed Sigmoid-Based Shrinkage in Time-Frequency Domain for Robust Audio Denoising
%+ Département Signal et Communications (SC)
%+ Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
%+ Lab-STICC_IMTA_CID_TOMS
%+ Lab-STICC_IMTA_CACS_COM
%A Mai, Van Khanh
%A Pastor, Dominique
%A Aissa El Bey, Abdeldjalil
%< avec comité de lecture
%Z 19255
%( Proceedings 9th International Symposium on Signal, Image, Video and Communications (ISIVC)
%B 9th International Symposium on Signal, Image, Video and Communications (ISIVC)
%C Rabat, Morocco
%P .
%8 2018-11-27
%D 2018
%K Block threshold
%K Audio denoising
%K Smoothed sigmoid-based shrinkage
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X In this paper, we propose a novel robust method for short-time spectral amplitude (STSA) estimation in audio denoising. This method extends the smoothed sigmoid-based shrinkage (SSBS), which does not require any prior information about the probability distribution of the signal of interest. With regard to audio processing, the SSBS method yields better performance in terms of noise reduction but nevertheless introduces significant musical noise. In order to benefit from non-diagonal processing, which removes background noise without introducing musical noise, two non-diagonal SSBS are derived. First, the decision directed approach is incorporated into the SSBS method. Second, the time-frequency domain is divided into rectangular blocks and then, a SSBS function is applied to estimate the spectral amplitude in each block. The experimental results demonstrate the relevance of the proposed methods both in terms of speech quality and intelligibility via objective criteria.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01893712/document
%2 https://hal.archives-ouvertes.fr/hal-01893712/file/PID5583835.pdf
%L hal-01893712
%U https://hal.archives-ouvertes.fr/hal-01893712
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ ENIB
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CID_TOMS
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
%~ LAB-STICC_IMTA
Communication dans un congrès
Mai Van Khanh, Pastor Dominique, Aissa El Bey Abdeldjalil
Joint Soft Threshold and Statistical Estimation for Speech Enhancement
9th International Symposium on Signal, Image, Video and Communications (ISIVC), Nov 2018, Rabat, Morocco. Proceedings 9th International Symposium on Signal, Image, Video and Communications (ISIVC), 2018
Bibtext :
@inproceedings{mai:hal-01893685,
TITLE = {{Joint Soft Threshold and Statistical Estimation for Speech Enhancement}},
AUTHOR = {Mai, Van Khanh and Pastor, Dominique and Aissa El Bey, Abdeldjalil},
URL = {https://hal.archives-ouvertes.fr/hal-01893685},
BOOKTITLE = {{9th International Symposium on Signal, Image, Video and Communications (ISIVC)}},
ADDRESS = {Rabat, Morocco},
HAL_LOCAL_REFERENCE = {19254},
PAGES = {.},
YEAR = {2018},
MONTH = Nov,
KEYWORDS = {Sigmoid shrinkage ; MMSE ; Speech enhancement ; Noise reduction},
PDF = {https://hal.archives-ouvertes.fr/hal-01893685/file/PID5584289.pdf},
HAL_ID = {hal-01893685},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Joint Soft Threshold and Statistical Estimation for Speech Enhancement
%+ Département Signal et Communications (SC)
%+ Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
%+ Lab-STICC_IMTA_CID_TOMS
%+ Lab-STICC_IMTA_CACS_COM
%A Mai, Van Khanh
%A Pastor, Dominique
%A Aissa El Bey, Abdeldjalil
%< avec comité de lecture
%Z 19254
%( Proceedings 9th International Symposium on Signal, Image, Video and Communications (ISIVC)
%B 9th International Symposium on Signal, Image, Video and Communications (ISIVC)
%C Rabat, Morocco
%P .
%8 2018-11-27
%D 2018
%K Sigmoid shrinkage
%K MMSE
%K Speech enhancement
%K Noise reduction
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X This paper presents a novel method for speech enhancement based on the combination of sigmoid shrinkage and bayesian estimator. The main idea is to apply a joint detection and estimation to noisy speech before using a standard minimum-mean-squared-error (MMSE) estimator. Hence, the proposed method can take advantage of two basic approaches for improving the quality of noisy speech. Experiments performed on stationary and non-stationary noisy speech signals show that the proposed approach is promising when compared to classical methods, in terms of objective and pseudo-subjective measurements.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01893685/document
%2 https://hal.archives-ouvertes.fr/hal-01893685/file/PID5584289.pdf
%L hal-01893685
%U https://hal.archives-ouvertes.fr/hal-01893685
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ ENIB
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CID_TOMS
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
%~ LAB-STICC_IMTA
Communication dans un congrès
Hmamouche Yassine, Benjillali Mustapha, Saoudi Samir
Closed-form Coverage Probability under the Idle Mode Capability: A Stochastic Geometry Approach
ISIVC 2018, International Symposium on Signal Image Video and Communications, Nov 2018, rabat, Morocco
Bibtext :
@inproceedings{hmamouche:hal-01893752,
TITLE = {{Closed-form Coverage Probability under the Idle Mode Capability: A Stochastic Geometry Approach}},
AUTHOR = {Hmamouche, Yassine and Benjillali, Mustapha and Saoudi, Samir},
URL = {https://hal.archives-ouvertes.fr/hal-01893752},
BOOKTITLE = {{ISIVC 2018, International Symposium on Signal Image Video and Communications}},
ADDRESS = {rabat, Morocco},
YEAR = {2018},
MONTH = Nov,
PDF = {https://hal.archives-ouvertes.fr/hal-01893752/file/ISIVC_2018_paper_42.pdf},
HAL_ID = {hal-01893752},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Closed-form Coverage Probability under the Idle Mode Capability: A Stochastic Geometry Approach
%+ Lab-STICC_IMTA_CACS_COM
%+ Département Signal et Communications (SC)
%+ Institut National de Postes et Télécommunications [Rabat] (INPT)
%A Hmamouche, Yassine
%A Benjillali, Mustapha
%A Saoudi, Samir
%< avec comité de lecture
%B ISIVC 2018, International Symposium on Signal Image Video and Communications
%C rabat, Morocco
%8 2018-11-27
%D 2018
%Z Engineering Sciences [physics]Conference papers
%X In this paper, we provide a comprehensive overview of the stochastic geometry framework explored extensively in literature to model and analyze the performance of communication networks. We provide a brief survey of the history of the approach, including recent applications to the analysis of several 5G enabling technologies. In the main technical section of the paper, we consider a case study in which we assume a system model where the idle mode capability is activated on base stations. A general expression of the coverage probability based on hypergeometric functions is then derived, yielding closed-form expressions that depend on the parity of the path loss exponent. Numerical results confirm the accuracy of our practical approximations.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01893752/document
%2 https://hal.archives-ouvertes.fr/hal-01893752/file/ISIVC_2018_paper_42.pdf
%L hal-01893752
%U https://hal.archives-ouvertes.fr/hal-01893752
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
%~ LAB-STICC_IMTA
Communication dans un congrès
Lassami Nacerredine, Aïssa-El-Bey Abdeldjalil, Abed-Meraim Karim
Adaptive Blind Identification of Sparse SIMO Channels using Maximum a Posteriori Approach
Asilomar Conference on Signals, Systems, and Computers, Oct 2018, Pacific Grove, Ca, United States. Proceedings Asilomar Conference on Signals, Systems, and Computers, 2018
Bibtext :
@inproceedings{lassami:hal-01847560,
TITLE = {{Adaptive Blind Identification of Sparse SIMO Channels using Maximum a Posteriori Approach}},
AUTHOR = {Lassami, Nacerredine and A{\"i}ssa-El-Bey, Abdeldjalil and Abed-Meraim, Karim},
URL = {https://hal.archives-ouvertes.fr/hal-01847560},
BOOKTITLE = {{Asilomar Conference on Signals, Systems, and Computers}},
ADDRESS = {Pacific Grove, Ca, United States},
HAL_LOCAL_REFERENCE = {19096},
PAGES = {.},
YEAR = {2018},
MONTH = Oct,
KEYWORDS = {Adaptive algorithms ; Sparse channel ; SIMO channel ; Blind identification},
PDF = {https://hal.archives-ouvertes.fr/hal-01847560/file/adaptive-blind-identification.pdf},
HAL_ID = {hal-01847560},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Adaptive Blind Identification of Sparse SIMO Channels using Maximum a Posteriori Approach
%+ Lab-STICC_IMTA_CACS_COM
%+ Département Signal et Communications (SC)
%+ Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME)
%A Lassami, Nacerredine
%A Aïssa-El-Bey, Abdeldjalil
%A Abed-Meraim, Karim
%< avec comité de lecture
%Z 19096
%( Proceedings Asilomar Conference on Signals, Systems, and Computers
%B Asilomar Conference on Signals, Systems, and Computers
%C Pacific Grove, Ca, United States
%P .
%8 2018-10-28
%D 2018
%K Adaptive algorithms
%K Sparse channel
%K SIMO channel
%K Blind identification
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X In this paper, we are interested in adaptive blind channel identification of sparse single input multiple output (SIMO) systems. A generalized Laplacian distribution is considered to enhance the sparsity of the channel coefficients with a maximum a posteriori (MAP) approach. The resulting cost function is composed of the classical deterministic maximum likelihood (ML) term and an additive $\ell_p$ norm of the channel coefficient vector which represents the sparsity penalization. The proposed adaptive optimization algorithm is based on a simple gradient step. Simulations show that our method outperforms the existing adaptive versions of cross-relation (CR) method.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01847560/document
%2 https://hal.archives-ouvertes.fr/hal-01847560/file/adaptive-blind-identification.pdf
%L hal-01847560
%U https://hal.archives-ouvertes.fr/hal-01847560
%~ TELECOM-BRETAGNE
%~ INSTITUT-TELECOM
%~ CNRS
%~ UNIV-UBS
%~ ENSI-BOURGES
%~ MSL
%~ MSL-THESE
%~ ENIB
%~ LAB-STICC
%~ UNIV-BREST
%~ UNIV-ORLEANS
%~ IMT-ATLANTIQUE
%~ IMTA_SC
%~ LAB-STICC_IMTA_CACS_COM
%~ PRISME-CVL
%~ LAB-STICC_IMTA
Communication dans un congrès
Ye Zi, Arbi Tarak, Geller Benoit, Socheleau François-Xavier
Fast Soft Demapping for Underwater Acoustic Communications With Signal Space Diversity
IEEE OCEANS 2018, Oct 2018, Charleston, United States
Bibtext :
@inproceedings{ye:hal-01894419,
TITLE = {{Fast Soft Demapping for Underwater Acoustic Communications With Signal Space Diversity}},
AUTHOR = {Ye, Zi and Arbi, Tarak and Geller, Benoit and Socheleau, Fran{\c c}ois-Xavier},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01894419},
BOOKTITLE = {{IEEE OCEANS 2018}},
ADDRESS = {Charleston, United States},
YEAR = {2018},
MONTH = Oct,
HAL_ID = {hal-01894419},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Fast Soft Demapping for Underwater Acoustic Communications With Signal Space Diversity
%+ Unité d'Informatique et d'Ingénierie des Systèmes (U2IS)
%+ Lab-STICC_IMTA_CACS_COM
%+ Département Signal et Communications (SC)
%A Ye, Zi
%A Arbi, Tarak
%A Geller, Benoit
%A Socheleau, François-Xavier
%< avec comité de lecture
%B IEEE OCEANS 2018
%C Charleston, United States
%8 2018-10-22
%D 2018
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%G English
%L hal-01894419
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01894419
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ ENSTA_U2IS
%~ ENSTA-SACLAY
%~ IMTA_SC
%~ LAB-STICC_IMTA_CACS_COM
%~ UNIV-PARIS-SACLAY
%~ LAB-STICC_IMTA
Pré-publication, Document de travail
Ouala Said, Fablet Ronan, Herzet Cédric, Chapron Bertrand, Pascual Ananda, Collard Fabrice, Gaultier Lucile
Neural-Network-based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-derived Sea Surface Temperature
2018
Bibtext :
@unpublished{ouala:hal-01896654,
TITLE = {{Neural-Network-based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-derived Sea Surface Temperature}},
AUTHOR = {Ouala, Said and FABLET, Ronan and Herzet, C{\'e}dric and Chapron, Bertrand and Pascual, Ananda and Collard, Fabrice and Gaultier, Lucile},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01896654},
NOTE = {working paper or preprint},
YEAR = {2018},
MONTH = Oct,
KEYWORDS = {Dynamical model ; Data assimilation ; Kalman filter ; Neural networks ; Data-driven},
PDF = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01896654/file/S.OUALA_Paper.pdf},
HAL_ID = {hal-01896654},
HAL_VERSION = {v1},
}
Endnote :
%0 Unpublished work
%T Neural-Network-based Kalman Filters for the Spatio-Temporal Interpolation of Satellite-derived Sea Surface Temperature
%+ Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
%+ Département Signal et Communications (SC)
%+ SIMulation pARTiculaire de Modèles Stochastiques (SIMSMART)
%+ Laboratoire d’Oéanographie Spatiale [Plouzané] (LOS)
%+ Institut Mediterrani d'Estudis Avancats (IMEDEA)
%+ OceanDataLab
%A Ouala, Said
%A FABLET, Ronan
%A Herzet, Cédric
%A Chapron, Bertrand
%A Pascual, Ananda
%A Collard, Fabrice
%A Gaultier, Lucile
%8 2018-10-16
%D 2018
%K Dynamical model
%K Data assimilation
%K Kalman filter
%K Neural networks
%K Data-driven
%Z Environmental Sciences
%Z Mathematics [math]/Statistics [math.ST]
%Z Mathematics [math]/Dynamical Systems [math.DS]Preprints, Working Papers, ...
%X In this work we address the reconstruction of gap-free Sea Surface Temperature (SST) fields 1 from irregularly-sampled satellite-derived observations. We develop novel Neural-Network-based 2 (NN-based) Kalman filters for spatio-temporal interpolation issues as an alternative to ensemble 3 Kalman filters (EnKF). The key features of the proposed approach are twofold: the learning of 4 a probabilistic NN-based representation of 2D geophysical dynamics, the associated parametric 5 Kalman-like filtering scheme for a computationally-efficient spatio-temporal interpolation of Sea 6 Surface Temperature (SST) fields. We illustrate the relevance of our contribution for an OSSE 7 (Observing System Simulation Experiment) in a case-study region off South Africa. Our numerical 8 experiments report significant improvements in terms of reconstruction performance compared with 9 operational and state-of-the-art schemes (e.g., optimal interpolation, Empirical Orthogonal Function 10 (EOF) based interpolation and analog data assimilation).
%G English
%2 https://hal-imt-atlantique.archives-ouvertes.fr/hal-01896654/document
%2 https://hal-imt-atlantique.archives-ouvertes.fr/hal-01896654/file/S.OUALA_Paper.pdf
%L hal-01896654
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01896654
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ IFREMER
%~ INRIA-RENNES
%~ SDE
%~ INSMI
%~ INSTITUT-TELECOM
%~ UNAM
%~ ENIB
%~ TDS-MACS
%~ LAB-STICC
%~ UNIV-RENNES1
%~ INRIA_TEST
%~ CHL
%~ GIP-BE
%~ AGREENIUM
%~ UNIV-RENNES2
%~ UR2-HB
%~ INRIA
%~ TEST-UR-CSS
%~ LAB-STICC_IMTA
%~ UNIV-RENNES
%~ INRIA-RENGRE
%~ IRMAR
%~ IMTA_SC
%~ UR1-MATH-STIC
%~ UR1-HAL
Pré-publication, Document de travail
Lopez Radcenco Manuel, Pascual Ananda, Gomez-Navarro Laura, Aïssa-El-Bey Abdeldjalil, Chapron Bertrand, Fablet Ronan
Can SWOT Improve the Reconstruction of Sea Level Anomaly Fields? Insights for Data-driven Approaches in the Western Mediterranean Sea
2018
Bibtext :
@unpublished{lopezradcenco:hal-01891689,
TITLE = {{Can SWOT Improve the Reconstruction of Sea Level Anomaly Fields? Insights for Data-driven Approaches in the Western Mediterranean Sea}},
AUTHOR = {Lopez Radcenco, Manuel and Pascual, Ananda and Gomez-Navarro, Laura and A{\"i}ssa-El-Bey, Abdeldjalil and Chapron, Bertrand and FABLET, Ronan},
URL = {https://hal.archives-ouvertes.fr/hal-01891689},
NOTE = {working paper or preprint},
YEAR = {2018},
MONTH = Oct,
KEYWORDS = {Sea surface ; Remote sensing ; Interpolation ; Sig-nal sampling ; Radar altimetry},
PDF = {https://hal.archives-ouvertes.fr/hal-01891689/file/article_jstars_igarss_2018_preprint.pdf},
HAL_ID = {hal-01891689},
HAL_VERSION = {v1},
}
Endnote :
%0 Unpublished work
%T Can SWOT Improve the Reconstruction of Sea Level Anomaly Fields? Insights for Data-driven Approaches in the Western Mediterranean Sea
%+ Département Signal et Communications (SC)
%+ Lab-STICC_IMTA_CID_TOMS
%+ Institut Mediterrani d'Estudis Avancats (IMEDEA)
%+ Institut des Géosciences de l’Environnement (IGE)
%+ Lab-STICC_IMTA_CACS_COM
%+ Laboratoire d'Océanographie Physique et Spatiale (LOPS)
%+ Département Signal et Communications (SC)
%A Lopez Radcenco, Manuel
%A Pascual, Ananda
%A Gomez-Navarro, Laura
%A Aïssa-El-Bey, Abdeldjalil
%A Chapron, Bertrand
%A FABLET, Ronan
%8 2018-10-09
%D 2018
%K Sea surface
%K Remote sensing
%K Interpolation
%K Sig-nal sampling
%K Radar altimetry
%Z Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]
%Z Engineering Sciences [physics]/Signal and Image processingPreprints, Working Papers, ...
%X Current generation satellite altimetry missions have played a fundamental role in improving our understanding of sea surface dynamics, despite only being able to provide measurements along the satellite track. In this respect, the future SWOT altimetry mission will be the first mission to produce complete two-dimensional wide-swath satellite observations. With a view towards the upcoming SWOT mission launch, we explore the potential of SWOT observations to improve the reconstruction of high-resolution sea level anomaly (SLA) fields from satellite-derived data. Given the ever-increasing availability of multi-source datasets that supports the exploration of data-driven alternatives to classical model-driven formulations, we focus here on recently introduced data-driven models for the interpolation of geophysical fields. Using an Observing System Simulation Experiment (OSSE), we demonstrate the relevance of SWOT observations to better constraint data-driven interpolation models in order to improve the reconstruction of mesoscale features. Reported results suggest that SWOT observations can provide more information than currently available nadir along-track al-timetry observations and show an additional SLA reconstruction performance improvement when the the joint assimilation of SWOT and nadir along-track observations is considered.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01891689/document
%2 https://hal.archives-ouvertes.fr/hal-01891689/file/article_jstars_igarss_2018_preprint.pdf
%L hal-01891689
%U https://hal.archives-ouvertes.fr/hal-01891689
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ IFREMER
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ INPG
%~ IRD
%~ LOPS
%~ IMT-ATLANTIQUE
%~ INSU
%~ IGE
%~ LAB-STICC_IMTA_CID_TOMS
%~ IMTA_SC
%~ LAB-STICC_IMTA_CACS_COM
%~ UGA
%~ LAB-STICC_IMTA
Pré-publication, Document de travail
Lopez Radcenco Manuel, Fablet Ronan, Aïssa-El-Bey Abdeldjalil
Non-negative Observation-based Decomposition of Operators
2018
Bibtext :
@unpublished{lopezradcenco:hal-01891692,
TITLE = {{Non-negative Observation-based Decomposition of Operators}},
AUTHOR = {Lopez Radcenco, Manuel and FABLET, Ronan and A{\"i}ssa-El-Bey, Abdeldjalil},
URL = {https://hal.archives-ouvertes.fr/hal-01891692},
NOTE = {working paper or preprint},
YEAR = {2018},
MONTH = Oct,
PDF = {https://hal.archives-ouvertes.fr/hal-01891692/file/lopez_radcenco_et_al_tsp_2018_preprint.pdf},
HAL_ID = {hal-01891692},
HAL_VERSION = {v1},
}
Endnote :
%0 Unpublished work
%T Non-negative Observation-based Decomposition of Operators
%+ Lab-STICC_IMTA_CID_TOMS
%+ Département Signal et Communications (SC)
%+ Lab-STICC_IMTA_CACS_COM
%A Lopez Radcenco, Manuel
%A FABLET, Ronan
%A Aïssa-El-Bey, Abdeldjalil
%8 2018-10-09
%D 2018
%Z Engineering Sciences [physics]/Signal and Image processingPreprints, Working Papers, ...
%X The problem of observation-based characterization of operators, closely related to the well-studied problem of blind source separation, remains nonetheless considerably less studied. Inspired by the recent success of non-negative and sparse blind source separation, we aim at extending constrained blind source separation models to the data-driven characterization of operators. We introduce a novel non-negative decomposition model for linear operators and investigate different parameter estimation algorithms. We study and compare the proposed algorithms in terms of identification and reconstruction performance in a variety of experimental settings, in order to gain insight into the robustness and limitations of the proposed algorithms. We further discuss the main contribution of our approach compared with state-of-the-art methods for the analysis and decomposition of operators.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01891692/document
%2 https://hal.archives-ouvertes.fr/hal-01891692/file/lopez_radcenco_et_al_tsp_2018_preprint.pdf
%L hal-01891692
%U https://hal.archives-ouvertes.fr/hal-01891692
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA_CID_TOMS
%~ IMTA_SC
%~ LAB-STICC_IMTA_CACS_COM
%~ LAB-STICC_IMTA
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