Abdeldjalil AISSA EL BEY

Poste

Enseignant chercheur

Département

Département Signal et Communication

Localisation

Brest

Coordonnées :

Tél.

+33 2 29 00 15 72
Biographie

Abdeldjalil Aïssa-El-Bey received the State Engineering degree from Ecole Nationale Polytechnique (ENP), Algiers, Algeria, in 2003, the M.S. degree in signal processing from Supelec and Paris XI University, Orsay, France, in 2004, and the Ph.D. degree in signal and image processing from ENST Paris, France, in 2007. In 2007, he joined the Signal & Communications department of IMT Atlantique (Telecom Bretagne), Brest, France as an Associate Professor, and then Professor, since 2015. He was a Visiting Researcher at Fujitsu Laboratories, Japan and the department of Electrical and Electronic Engineering of The University of Melbourne, Australia in 2010 and 2015, respectively. His research interests are blind source separation, blind system identification and equalization, compressed sensing, sparse signal processing, statistical signal processing, wireless communications, and adaptive filtering.

Publications HAL
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
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
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
Article dans une revue
Hajji Zahran, Aïssa-El-Bey Abdeldjalil, Amis Cavalec Karine
Simplicity-based recovery of finite-alphabet signals for large-scale MIMO systems
Digital Signal Processing, Elsevier, 2018, 〈10.1016/j.dsp.2018.05.012〉
Bibtext :
@article{hajji:hal-01811519,
TITLE = {{Simplicity-based recovery of finite-alphabet signals for large-scale MIMO systems}},
AUTHOR = {Hajji, Zahran and A{\"i}ssa-El-Bey, Abdeldjalil and Amis Cavalec, Karine},
URL = {https://hal.archives-ouvertes.fr/hal-01811519},
JOURNAL = {{Digital Signal Processing}},
HAL_LOCAL_REFERENCE = {18997},
PUBLISHER = {{Elsevier}},
PAGES = {.},
YEAR = {2018},
MONTH = Sep,
DOI = {10.1016/j.dsp.2018.05.012},
KEYWORDS = {Compressed sensing ; Source separation ; Underdetermined systems ; Sparsity ; Simplicity ; Massive MIMO},
PDF = {https://hal.archives-ouvertes.fr/hal-01811519/file/simplicity-based-recovery.pdf},
HAL_ID = {hal-01811519},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Simplicity-based recovery of finite-alphabet signals for large-scale MIMO systems
%+ Lab-STICC_IMTA_CACS_COM
%+ Département Signal et Communications (SC)
%A Hajji, Zahran
%A Aïssa-El-Bey, Abdeldjalil
%A Amis Cavalec, Karine
%< avec comité de lecture
%Z 18997
%@ 1051-2004
%J Digital Signal Processing
%I Elsevier
%P .
%8 2018-09
%D 2018
%R 10.1016/j.dsp.2018.05.012
%K Compressed sensing
%K Source separation
%K Underdetermined systems
%K Sparsity
%K Simplicity
%K Massive MIMO
%Z Engineering Sciences [physics]/Signal and Image processingJournal articles
%X In this paper, we consider the problem of finite-alphabet source separation in both determined and underdetermined large-scale systems. First, we address the noiseless case and we propose a linear criterion based on ℓ1-minimization combined with box constraints. We investigate also the system conditions that ensure successful recovery. Next, we apply the approach to the noisy massive MIMO transmission and we propose a quadratic criterion-based detector. Simulation results show the efficiency of the proposed detection methods for various QAM modulations and MIMO configurations. We mention that there is no change in the computational complexity when the constellation size increases. Moreover, the proposed method outperforms the classical Minimum Mean Square Error (MMSE)-based detection algorithms.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01811519/document
%2 https://hal.archives-ouvertes.fr/hal-01811519/file/simplicity-based-recovery.pdf
%L hal-01811519
%U https://hal.archives-ouvertes.fr/hal-01811519
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ UNIV-BREST
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Article dans une revue
Ouelha Samir, Aïssa-El-Bey Abdeldjalil, Boashash Boualem
An improved time-frequency noise reduction method using a psycho-acoustic Mel model
Digital Signal Processing, Elsevier, 2018, 79, pp.199 - 212. 〈10.1016/j.dsp.2018.04.005〉
Bibtext :
@article{ouelha:hal-01774898,
TITLE = {{An improved time-frequency noise reduction method using a psycho-acoustic Mel model}},
AUTHOR = {Ouelha, Samir and A{\"i}ssa-El-Bey, Abdeldjalil and Boashash, Boualem},
URL = {https://hal.archives-ouvertes.fr/hal-01774898},
JOURNAL = {{Digital Signal Processing}},
HAL_LOCAL_REFERENCE = {18892},
PUBLISHER = {{Elsevier}},
VOLUME = {79},
PAGES = {199 - 212},
YEAR = {2018},
MONTH = Aug,
DOI = {10.1016/j.dsp.2018.04.005},
KEYWORDS = {Mel filterbank ; Time-frequency analysis ; Psycho-acoustic model ; Noise reduction ; Signal enhancement ; Wavelet thresholding},
HAL_ID = {hal-01774898},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T An improved time-frequency noise reduction method using a psycho-acoustic Mel model
%+ Qatar University
%+ Lab-STICC_IMTA_CACS_COM
%+ Département Signal et Communications (SC)
%A Ouelha, Samir
%A Aïssa-El-Bey, Abdeldjalil
%A Boashash, Boualem
%< avec comité de lecture
%Z 18892
%@ 1051-2004
%J Digital Signal Processing
%I Elsevier
%V 79
%P 199 - 212
%8 2018-08
%D 2018
%R 10.1016/j.dsp.2018.04.005
%K Mel filterbank
%K Time-frequency analysis
%K Psycho-acoustic model
%K Noise reduction
%K Signal enhancement
%K Wavelet thresholding
%Z Engineering Sciences [physics]/Signal and Image processingJournal articles
%X This paper addresses the problem of noise reduction in non-stationary signals. The paper first describes a human physiology based time-frequency (TF) representation (TFHP) using Mel filterbanks. It is then used to improve a noise reduction algorithm that does not require any a priori information about the signal of interest and the noise. This algorithm is efficiently implemented using an original wavelet shrinkage method. The overall method results in an original TF denoising procedure that yields a denoised TFHP (DTFHP). From this representation one can reconstruct a denoised time-domain signal and therefore define a new improved noise reduction algorithm, whose performance is evaluated and compared with other state-of-the-art methods. The performance assessment uses several criteria: (1) signal-to-noise-ratio (SNR), (2) segmental SNR (SSNR) and (3) mean square error (MSE). The results indicate an improvement of up to 4.72 dB with respect to SNR, 2.79 dB w.r.t SSNR and 4.72 dB w.r.t. MSE for a speech database signals corrupted with four different noises. In addition, other applications such as EEG signal enhancement show promising results.
%G English
%L hal-01774898
%U https://hal.archives-ouvertes.fr/hal-01774898
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ UNIV-BREST
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Article dans une revue
Mai Van Khanh, Pastor Dominique, Aïssa-El-Bey Abdeldjalil, Le Bidan Raphaël
Semi-Parametric Joint Detection and Estimation for Speech Enhancement based on Minimum Mean Square Error
Speech Communication, Elsevier : North-Holland, 2018, 〈10.1016/j.specom.2018.05.005〉
Bibtext :
@article{mai:hal-01817262,
TITLE = {{Semi-Parametric Joint Detection and Estimation for Speech Enhancement based on Minimum Mean Square Error}},
AUTHOR = {Mai, Van Khanh and Pastor, Dominique and A{\"i}ssa-El-Bey, Abdeldjalil and Le Bidan, Rapha{\"e}l},
URL = {https://hal.archives-ouvertes.fr/hal-01817262},
JOURNAL = {{Speech Communication}},
HAL_LOCAL_REFERENCE = {19037},
PUBLISHER = {{Elsevier : North-Holland}},
PAGES = {.},
YEAR = {2018},
MONTH = Aug,
DOI = {10.1016/j.specom.2018.05.005},
KEYWORDS = {Speech enhancement ; Noise reduction ; Bayesian estimation ; Non-parametric estimation ; Smoothed sigmoid-based shrinkage},
HAL_ID = {hal-01817262},
HAL_VERSION = {v1},
}
Endnote :
%0 Journal Article
%T Semi-Parametric Joint Detection and Estimation for Speech Enhancement based on Minimum Mean Square Error
%+ 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 Aïssa-El-Bey, Abdeldjalil
%A Le Bidan, Raphaël
%< avec comité de lecture
%Z 19037
%@ 0167-6393
%J Speech Communication
%I Elsevier : North-Holland
%P .
%8 2018-08
%D 2018
%R 10.1016/j.specom.2018.05.005
%K Speech enhancement
%K Noise reduction
%K Bayesian estimation
%K Non-parametric estimation
%K Smoothed sigmoid-based shrinkage
%Z Engineering Sciences [physics]/Signal and Image processingJournal articles
%X We propose a novel estimator for estimating the amplitude of speech coefficients in the time-frequency domain. In order to avoid a phase spectrum estimator of complex coefficients when using the Fourier transform, we consider the discrete cosine transform (DCT). This estimator aims at minimizing the mean square error of the absolute values of the speech DCT coefficients. In order to take advantage of both parametric and non-parametric approaches, the proposed method combines block shrinkage and Bayesian statistical estimation. First, the absolute value of the clean coefficient is estimated by block smoothed sigmoid-based shrinkage (Block-SSBS). The block size required by the block-SSBS is obtained by statistical optimization. This step enables us to reduce the negative impact on speech intelligibility of classical denoising methods similarly to smoothed binary masking. Second, for refining the estimation, an optimal statistical estimator is added to handle musical noise. For evaluating the performance of the proposed method, objective criteria are used. The experiments enhance the relevance of the approach, in terms of speech quality and intelligibility.
%G English
%L hal-01817262
%U https://hal.archives-ouvertes.fr/hal-01817262
%~ CNRS
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ UNIV-BREST
%~ LAB-STICC_IMTA_CID_TOMS
%~ IMTA_SC
%~ LAB-STICC_IMTA_CACS_COM
%~ IMT-ATLANTIQUE
%~ LAB-STICC_IMTA
Communication dans un congrès
Lopez Radcenco Manuel, Pascual Ananda, Gomez-Navarro Laura, Aïssa-El-Bey Abdeldjalil, Fablet Ronan
Analog data assimilation for along-track nadir and SWOT altimetry data in the Western Mediterranean Sea
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia, Spain. 2018, Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Bibtext :
@inproceedings{lopezradcenco:hal-01739800,
TITLE = {{Analog data assimilation for along-track nadir and SWOT altimetry data in the Western Mediterranean Sea}},
AUTHOR = {Lopez Radcenco, Manuel and Pascual, Ananda and Gomez-Navarro, Laura and A{\"i}ssa-El-Bey, Abdeldjalil and FABLET, Ronan},
URL = {https://hal.archives-ouvertes.fr/hal-01739800},
BOOKTITLE = {{IEEE International Geoscience and Remote Sensing Symposium (IGARSS)}},
ADDRESS = {Valencia, Spain},
HAL_LOCAL_REFERENCE = {18862},
SERIES = {Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)},
PAGES = {.},
YEAR = {2018},
MONTH = Jul,
KEYWORDS = {Western Mediterranean Sea ; SWOT ; Altimetry data ; Sea Level Anomaly ; Spatio-temporal interpolation ; Data-driven model ; Data assimilation},
PDF = {https://hal.archives-ouvertes.fr/hal-01739800/file/lopez_radcenco_et_al_igarss_2018.pdf},
HAL_ID = {hal-01739800},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Proceedings
%T Analog data assimilation for along-track nadir and SWOT altimetry data in the Western Mediterranean Sea
%+ Lab-STICC_IMTA_CID_TOMS
%+ Département Signal et Communications (SC)
%+ Instituto Mediterráneo de Estudios Avanzados (CSIC-UIB) (IMEDEA)
%+ Institut des Géosciences de l'Environnement (UMR 5001 CNRS, Grenoble INP, IRD, Univ Grenoble Alpes,) (IGE)
%+ Lab-STICC_IMTA_CACS_COM
%A Lopez Radcenco, Manuel
%A Pascual, Ananda
%A Gomez-Navarro, Laura
%A Aïssa-El-Bey, Abdeldjalil
%A FABLET, Ronan
%< avec comité de lecture
%Z 18862
%B IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
%C Valencia, Spain
%3 Proceedings IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
%P .
%8 2018-07-23
%D 2018
%K Western Mediterranean Sea
%K SWOT
%K Altimetry data
%K Sea Level Anomaly
%K Spatio-temporal interpolation
%K Data-driven model
%K Data assimilation
%Z Engineering Sciences [physics]/Signal and Image processingConference papers
%X The ever increasing availability of in situ, remote sensing and simulation data supports the development of data-driven alternatives to classical model-driven methods for the interpolation of sea surface geophysical fields from partial satellite-derived observations. In this respect, we recently introduced the Analog Data Assimilation (AnDA), which exploits patch-based analog forecasting operators within a classic Kalman-based data assimilation framework. In this work, we consider the application of AnDA to the spatio-temporal interpolation of SLA (Sea Level Anomalies) from two types of satellite altimetry data, namely from along-track nadir data and data from the upcoming wide-swath SWOT mission. We report a sensitivity analysis w.r.t. the main parameters of the proposed AnDA scheme. Overall, the reported benchmarking analysis supports the relevance of the proposed AnDA scheme for an improved reconstruction of mescoscale structures for horizontal scales ranging from ~20km to ~100km, with an gain of 42% (12%) in terms of SLA RMSE (correlation) with respect to Optimal Interpolation (OI). Results suggest an additional potential improvement from the joint assimilation of SWOT and along-track nadir observations.
%G English
%2 https://hal.archives-ouvertes.fr/hal-01739800/document
%2 https://hal.archives-ouvertes.fr/hal-01739800/file/lopez_radcenco_et_al_igarss_2018.pdf
%L hal-01739800
%U https://hal.archives-ouvertes.fr/hal-01739800
%~ INSTITUT-TELECOM
%~ LAB-STICC_IMTA_CACS_COM
%~ IMTA_SC
%~ LAB-STICC_IMTA_CID_TOMS
%~ IRD
%~ UNIV-BREST
%~ LAB-STICC
%~ UNIV-UBS
%~ CNRS
%~ IMT-ATLANTIQUE
%~ TELECOM-BRETAGNE
%~ ENIB
%~ LAB-STICC_IMTA
Communication dans un congrès
Lopez Radcenco Manuel, Pascual Ananda, Gomez-Navarro Laura, Aïssa-El-Bey Abdeldjalil, Fablet Ronan
Assimilation par Analogues de Données Altimétriques Nadir et SWOT dans la Mer Méditerranée Occidentale
Conférence Française de Photogrammétrie et de Télédétection, Jun 2018, Marne-la-Vallée, France
Bibtext :
@inproceedings{lopezradcenco:hal-01867850,
TITLE = {{Assimilation par Analogues de Donn{\'e}es Altim{\'e}triques Nadir et SWOT dans la Mer M{\'e}diterran{\'e}e Occidentale}},
AUTHOR = {Lopez Radcenco, Manuel and Pascual, Ananda and Gomez-Navarro, Laura and A{\"i}ssa-El-Bey, Abdeldjalil and FABLET, Ronan},
URL = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01867850},
BOOKTITLE = {{Conf{\'e}rence Fran{\c c}aise de Photogramm{\'e}trie et de T{\'e}l{\'e}d{\'e}tection}},
ADDRESS = {Marne-la-Vall{\'e}e, France},
YEAR = {2018},
MONTH = Jun,
PDF = {https://hal-imt-atlantique.archives-ouvertes.fr/hal-01867850/file/lopez-radcenco_et_al_cfpt_2018.pdf},
HAL_ID = {hal-01867850},
HAL_VERSION = {v1},
}
Endnote :
%0 Conference Paper
%F Oral
%T Assimilation par Analogues de Données Altimétriques Nadir et SWOT dans la Mer Méditerranée Occidentale
%+ Lab-STICC_IMTA_CID_TOMS
%+ Département Signal et Communications (SC)
%+ Institut Mediterrani d'Estudis Avancats (IMEDEA)
%+ Institut des Géosciences de l’Environnement (IGE)
%+ Lab-STICC_IMTA_CACS_COM
%A Lopez Radcenco, Manuel
%A Pascual, Ananda
%A Gomez-Navarro, Laura
%A Aïssa-El-Bey, Abdeldjalil
%A FABLET, Ronan
%< avec comité de lecture
%B Conférence Française de Photogrammétrie et de Télédétection
%C Marne-la-Vallée, France
%8 2018-06-26
%D 2018
%Z Engineering Sciences [physics]/Signal and Image processing
%Z Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph]Conference papers
%G French
%2 https://hal-imt-atlantique.archives-ouvertes.fr/hal-01867850/document
%2 https://hal-imt-atlantique.archives-ouvertes.fr/hal-01867850/file/lopez-radcenco_et_al_cfpt_2018.pdf
%L hal-01867850
%U https://hal-imt-atlantique.archives-ouvertes.fr/hal-01867850
%~ IMT-ATLANTIQUE
%~ CNRS
%~ UNIV-BREST
%~ UNIV-UBS
%~ INSTITUT-TELECOM
%~ ENIB
%~ LAB-STICC
%~ INPG
%~ IRD
%~ INSU
%~ IGE
%~ LAB-STICC_IMTA_CID_TOMS
%~ IMTA_SC
%~ LAB-STICC_IMTA
%~ LAB-STICC_IMTA_CACS_COM
%~ UGA
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