A low-cost usage-based replacement algorithm for cache memories. - Yannick Deville (SIGARCH Comput. Archit. News, 1990)

A high-selectivity continuous-time GaAs balanced filter. - Yannick Deville (IEEE J. Solid State Circuits, 1990)

A class of replacement policies for medium and high-associativity structures. - Yannick Deville; Jean Gobert (SIGARCH Comput. Archit. News, 1992)

Digital Neural Networks For High-Speed Divisions And Root Extractions. - Yannick Deville (Int. J. Neural Syst., 1993)

A process-dependent partitioning strategy for cache memories. - Yannick Deville (SIGARCH Comput. Archit. News, 1993)

A unified stability analysis of the Hérault-Jutten source separation neural network. - Yannick Deville (Signal Process., 1996)

Optimization of the asymptotic performance of time-domain convolutive source separation algorithms. - Nabil Charkani; Yannick Deville (ESANN, 1997)

Analysis of the stability of time-domain source separation algorithms for convolutively mixed signals. - Yannick Deville; Nabil Charkani (ICASSP, 1997)

A convolutive source separation method with self-optimizing non-linearities. - Nabil Charkani; Yannick Deville (ICASSP, 1999)

Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals. - Nabil Charkani; Yannick Deville (Signal Process., 1999)

Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour. - Nabil Charkani; Yannick Deville (Signal Process., 1999)

Analysis of the convergence properties of self-normalized source separation neural networks. - Yannick Deville (IEEE Trans. Signal Process., 1999)

Numerical and analytical solutions to the differential source separation problem. - Frédéric Abrard; Yannick Deville; Mohammed Benali (EUSIPCO, 2000)

A criterion for deriving the sub/super gaussianity of source signals from their mixtures. - Yannick Deville; Mohammed Benali (EUSIPCO, 2000)

Differential source separation: Concept and application to a criterion based on differential normalized kurtosis. - Yannick Deville; Mohammed Benali (EUSIPCO, 2000)

A second-order differential approach for underdetermined convolutive source separation. - Yannick Deville; Stephane P. Savoldelli (ICASSP, 2001)

Blind Source Separation in Convolutive Mixtures: A Hybrid Approach for Colored Sources. - Frédéric Abrard; Yannick Deville (IWANN (2), 2001)

A distributed adaptive block matching algorithm: Dis-ABMA. - F. Vermaut; Yannick Deville; Xavier Marichal; Benoît Macq (Signal Process. Image Commun., 2001)

Analysis and control of the stability of a differential separation method for underdetermined convolutive mixtures. - Yannick Deville (EUSIPCO, 2002)

Multi-tag radio-frequency identification systems based on new blind source separation neural networks. - Yannick Deville; Jacques Damour; Nabil Charkani (Neurocomputing, 2002)

Blind separation of dependent sources using the "time-frequency ratio of mixtures" approach. - Frédéric Abrard; Yannick Deville (ISSPA (2), 2003)

A Time-Frequency Blind Source Separation Method Based on Segmented Coherence Function. - Benoit Albouy; Yannick Deville (IWANN (2), 2003)

Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure. - Shahram Hosseini; Yannick Deville (IWANN (2), 2003)

Blind Separation of Nonstationary Sources by Spectral Decorrelation. - Shahram Hosseini; Yannick Deville (ICA, 2004)

Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture. - Shahram Hosseini; Yannick Deville (ICA, 2004)

Time-frequency blind signal separation: extended methods, performance evaluation for speech sources. - Yannick Deville; Matthieu Puigt; Benoit Albouy (IJCNN, 2004)

Differential source separation for underdetermined instantaneous or convolutive mixtures: concept and algorithms. - Yannick Deville; Mohammed Benali; Frédéric Abrard (Signal Process., 2004)

A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources. - Frédéric Abrard; Yannick Deville (Signal Process., 2005)

A time-scale correlation-based blind separation method applicable to correlated sources. - Yannick Deville; Dass Bissessur; Matthieu Puigt; Shahram Hosseini; Hervé Carfantan (ESANN, 2006)

Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures. - Yannick Deville; Johanna Chappuis; Shahram Hosseini; Johan Thomas (ICA, 2006)

Markovian Blind Image Separation. - Shahram Hosseini; Rima Guidara; Yannick Deville; Christian Jutten (ICA, 2006)

Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures. - Matthieu Puigt; Yannick Deville (ICA, 2006)

A Time-Frequency CORRelation-Based Blind Source Separation Method for Time-Delayed Mixtures. - Matthieu Puigt; Yannick Deville (ICASSP (5), 2006)

Time-domain fast fixed-point algorithms for convolutive ICA. - Johan Thomas; Yannick Deville; Shahram Hosseini (IEEE Signal Process. Lett., 2006)

Markovian blind separation of non-stationary temporally correlated sources. - Rima Guidara; Shahram Hosseini; Yannick Deville (ESANN, 2007)

Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles. - Olivier Berné; Yannick Deville; Christine Joblin (ICA, 2007)

Blind Separation of Quantum States: Estimating Two Qubits from an Isotropic Heisenberg Spin Coupling Model. - Yannick Deville; Alain Deville (ICA, 2007)

Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation. - Yannick Deville; Shahram Hosseini (ICA, 2007)

Blind Separation of Non-stationary Images Using Markov Models. - Rima Guidara; Shahram Hosseini; Yannick Deville (ICA, 2007)

Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals. - Yannick Deville; Shahram Hosseini (ISSPA, 2007)

Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures. - Yannick Deville; Matthieu Puigt (Signal Process., 2007)

Differential Fast Fixed-Point Algorithms for Underdetermined Instantaneous and Convolutive Partial Blind Source Separation. - Johan Thomas; Yannick Deville; Shahram Hosseini (IEEE Trans. Signal Process., 2007)

Maximum likelihood blind separation of two quantum states (qubits) with cylindrical-symmetry Heisenberg spin coupling. - Yannick Deville; Alain Deville (ICASSP, 2008)

Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources. - Zbynek Koldovský; Jirí Málek; Petr Tichavský; Yannick Deville; Shahram Hosseini (ICASSP, 2008)

Blind partial separation of underdetermined convolutive mixtures of complex sources based on differential normalized kurtosis. - Frédéric Abrard; Yannick Deville; Johan Thomas (Neurocomputing, 2008)

Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification. - Johan Thomas; Yannick Deville; Shahram Hosseini (IEEE Trans. Signal Process., 2008)

Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures. - Matthieu Puigt; Yannick Deville (ICA, 2009)

Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources. - Matthieu Puigt; Emmanuel Vincent 001; Yannick Deville (ICA, 2009)

Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation. - Hicham Saylani; Shahram Hosseini; Yannick Deville (ICA, 2009)

Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles. - Olivier Berné; Christine Joblin; A. Tielens; Yannick Deville; Matthieu Puigt; Rima Guidara; Shahram Hosseini; Giacomo Mulas; J. Cami (WHISPERS, 2009)

Improvement of remote sensing multispectral image classification by using Independent Component Analysis. - Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini; Abdelaziz Ouamri; D. Ducrot (WHISPERS, 2009)

Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations. - Yannick Deville; Shahram Hosseini (Signal Process., 2009)

Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain. - Shahram Hosseini; Yannick Deville; Hicham Saylani (Signal Process., 2009)

Blind separation of piecewise stationary non-Gaussian sources. - Zbynek Koldovský; Jirí Málek; Petr Tichavský; Yannick Deville; Shahram Hosseini (Signal Process., 2009)

Blind Separation of Nonstationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm. - Rima Guidara; Shahram Hosseini; Yannick Deville (IEEE Signal Process. Lett., 2009)

Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields. - Rima Guidara; Shahram Hosseini; Yannick Deville (IEEE Trans. Image Process., 2009)

Cumulant-based estimation of quadratic mixture parameters for blind source separation. - Chahinez Chaouchi; Yannick Deville; Shahram Hosseini (EUSIPCO, 2010)

Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation. - Hicham Saylani; Shahram Hosseini; Yannick Deville (EUSIPCO, 2010)

ICA Separability of Nonlinear Models with References: General Properties and Application to Heisenberg-Coupled Quantum States (Qubits). - Yannick Deville (LVA/ICA, 2010)

Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme. - Yannick Deville; Shahram Hosseini (LVA/ICA, 2010)

Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. - Leonardo Tomazeli Duarte; Ricardo Suyama; Romis Ribeiro Faissol Attux; Yannick Deville; João Marcos Travassos Romano; Christian Jutten (LVA/ICA, 2010)

Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain. - Hicham Saylani; Shahram Hosseini; Yannick Deville (LVA/ICA, 2010)

Blind Separation methods based on correlation for sparse possibly-correlated images. - Ines Meganem; Yannick Deville; Matthieu Puigt (ICASSP, 2010)

Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. - Ines Meganem; Yannick Deville; Shahram Hosseini; Philippe Déliot; Xavier Briottet; Leonardo Tomazeli Duarte (EUSIPCO, 2011)

A blind quantum source separation method based on mutual information for retrieving two qubits with cylindrical-symmetry heisenberg coupling. - Yannick Deville; Alain Deville (ISPA, 2011)

Physical modelling and non-linear unmixing method for urban hyperspectral images. - Ines Meganem; Philippe Déliot; Xavier Briottet; Yannick Deville; Shahram Hosseini (WHISPERS, 2011)

Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization. - Ines Meganem; Yannick Deville; Shahram Hosseini; Hervé Carfantan; Moussa Sofiane Karoui (WHISPERS, 2011)

Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures. - Yannick Deville; Shahram Hosseini; Alain Deville (Signal Process., 2011)

Exact and Approximate Quantum Independent Component Analysis for Qubit Uncoupling. - Yannick Deville; Alain Deville (LVA/ICA, 2012)

Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. - Leonardo Tomazeli Duarte; Rafael A. Ando; Romis Ribeiro Faissol Attux; Yannick Deville; Christian Jutten (LVA/ICA, 2012)

Nonlinear Blind Source Separation Applied to a Simple Bijective Model. - Shahram Hosseini; Yannick Deville; Sonia El Amine; Hicham Saylani (ICISP, 2012)

Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization. - Hicham Saylani; Shahram Hosseini; Yannick Deville (ICISP, 2012)

A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels. - Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini; Abdelaziz Ouamri (IGARSS, 2012)

Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints. - Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini; Abdelaziz Ouamri (Pattern Recognit., 2012)

Classical-processing and quantum-processing signal separation methods for qubit uncoupling. - Yannick Deville; Alain Deville (Quantum Inf. Process., 2012)

ICA-based and second-order separability of nonlinear models involving reference signals: General properties and application to quantum bits. - Yannick Deville (Signal Process., 2012)

Positivity-based separation of stellar spectra using a parametric mixing model. - Ines Meganem; Shahram Hosseini; Yannick Deville (EUSIPCO, 2013)

A Quantum-feedforward and classical-feedback separating structure adapted with monodirectional measurements; Blind qubit uncoupling capability and links with ICA. - Yannick Deville; Alain Deville (MLSP, 2013)

Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis. - Djaouad Benachir; Yannick Deville; Shahram Hosseini; Moussa Sofiane Karoui; Abdelkader Hameurlain (WHISPERS, 2013)

NMF-Based spectral unmixingof herschel observations of the horsehead nebula. - Olivier Berné; Axel Boulais; Yannick Deville; Christine Joblin; Jérome Pety; D. Teyssier; Maryvonne Gerin (WHISPERS, 2013)

Joint nonnegative matrix factorization for hyperspectral and multispectral remote sensing data fusion. - Moussa Sofiane Karoui; Yannick Deville; Sarah Kreri (WHISPERS, 2013)

Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations. - Shahram Hosseini; Yannick Deville (Signal Process., 2013)

A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model. - Lina Jarboui; Shahram Hosseini; Yannick Deville; Rima Guidara; Ahmed Ben Hamida (ATSIP, 2014)

Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties. - Djaouad Benachir; Yannick Deville; Shahram Hosseini (ICASSP, 2014)

Blind qubit state disentanglement with Quantum processing: Principle, criterion and algorithm using measurements along two directions. - Yannick Deville; Alain Deville (ICASSP, 2014)

Characterization of hyperspectral images prior to unmixing, based on eigendecompositions and sum-to-one condition. - Yannick Deville; Charlotte Revel; Xavier Briottet; Véronique Achard (WHISPERS, 2014)

Linear-Quadratic Mixing Model for Reflectances in Urban Environments. - Ines Meganem; Philippe Déliot; Xavier Briottet; Yannick Deville; Shahram Hosseini (IEEE Trans. Geosci. Remote. Sens., 2014)

Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources. - Shahram Hosseini; Yannick Deville (IEEE Trans. Signal Process., 2014)

Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images. - Ines Meganem; Yannick Deville; Shahram Hosseini; Philippe Déliot; Xavier Briottet (IEEE Trans. Signal Process., 2014)

Matrix factorization for bilinear blind source separation: Methods, separability and conditioning. - Yannick Deville (EUSIPCO, 2015)

Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy. - Ahmed Selloum; Shahram Hosseini; Thierry Contini; Yannick Deville (EUSIPCO, 2015)

An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures. - Yannick Deville; Leonardo Tomazeli Duarte (LVA/ICA, 2015)

From Blind Quantum Source Separation to Blind Quantum Process Tomography. - Yannick Deville; Alain Deville (LVA/ICA, 2015)

Hyperspectral data multi-sharpening based on linear-quadratic nonnegative matrix factorization. - Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville; Abdelaziz Ouamri (IGARSS, 2015)

A method based on nonnegative matrix factorization dealing with intra-class variability for unsupervised hyperspectral unmixing. - Charlotte Revel; Yannick Deville; Véronique Achard; Xavier Briottet (WHISPERS, 2015)

A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures. - Yves-Marie Batany; Daniela Donno; Leonardo Tomazeli Duarte; Hervé Chauris; Yannick Deville; João Marcos Travassos Romano (EUSIPCO, 2016)

Fast disentanglement-based blind quantum source separation and process tomography using a feedforward quantum-classical adapting structure. - Yannick Deville; Alain Deville (EUSIPCO, 2016)

A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model. - Lina Jarboui; Shahram Hosseini; Rima Guidara; Yannick Deville; Ahmed Ben Hamida (ICASSP, 2016)

Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction. - Fatima Zohra Benhalouche; Yannick Deville; Moussa Sofiane Karoui; Abdelaziz Ouamri (IGARSS, 2016)

Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method. - Fatima Zohra Benhalouche; Yannick Deville; Moussa Sofiane Karoui; Abdelaziz Ouamri (MLSP, 2016)

Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. - Shahram Hosseini; Yannick Deville; Leonardo Tomazeli Duarte; Ahmed Selloum (MLSP, 2016)

Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra. - Ahmed Selloum; Shahram Hosseini; Yannick Deville; Thierry Contini (MLSP, 2016)

A linear-quadratic unsupervised hyperspectral unmixing method dealing with intra-class variability. - Charlotte Revel; Yannick Deville; Véronique Achard; Xavier Briottet (WHISPERS, 2016)

Analytical performance analysis for blind quantum source separation with time-varying coupling. - Yannick Deville; Alain Deville; Simon Rebeyrol; Ali Mansour (APCC, 2017)

Impact of the initialisation of a blind unmixing method dealing with intra-class variability. - Charlotte Revel; Yannick Deville; Véronique Achard; Xavier Briottet (ESANN, 2017)

A new multiplicative nonnegative matrix factorization method for unmixing hyperspectral images combined with multispectral data. - Yasmine Kheira Benkouider; Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini (EUSIPCO, 2017)

A Blind Identification and Source Separation Method Based on Subspace Intersections for Hyperspectral Astrophysical Data. - Axel Boulais; Yannick Deville; Olivier Berné (LVA/ICA, 2017)

Fast Disentanglement-Based Blind Quantum Source Separation and Process Tomography: A Closed-Form Solution Using a Feedback Classical Adapting Structure. - Yannick Deville; Alain Deville (LVA/ICA, 2017)

Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data. - Moussa Sofiane Karoui; Shahram Hosseini; Yannick Deville; Abdelaziz Ouamri; Ines Meganem (ICASSP, 2017)

Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: a Hyperspectral Unmixing Method Dealing with Intra-class Variability. - Charlotte Revel; Yannick Deville; Véronique Achard; Xavier Briottet (CoRR, 2017)

Blind quantum source separation: Quantum-processing qubit uncoupling systems based on disentanglement. - Yannick Deville; Alain Deville (Digit. Signal Process., 2017)

Concepts and Criteria for Blind Quantum Source Separation and Blind Quantum Process Tomography. - Alain Deville; Yannick Deville (Entropy, 2017)

Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization. - Moussa Sofiane Karoui; Yannick Deville; Fatima Zohra Benhalouche; Issam Boukerch (IEEE Trans. Geosci. Remote. Sens., 2017)

New Classes of Blind Quantum Source Separation and Process Tomography Methods Based on Spin Component Measurements Along Two Directions. - Yannick Deville; Alain Deville (LVA/ICA, 2018)

Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Yannick Deville; Christian Jutten; Romis Attux; Aline Neves (LVA/ICA, 2018)

A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures. - Andréa Guerrero; Yannick Deville; Shahram Hosseini (LVA/ICA, 2018)

Detection And Area Estimation For Photovoltaic Panels In Urban Hyperspectral Remote Sensing Data By An Original Nmf-Based Unmixing Method. - Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Yannick Deville; Khelifa Djerriri; Xavier Briottet; Arnaud Le Bris (IGARSS, 2018)

Hyperspectral Imagery for Environmental Urban Planning. - Cody Weber; Rahim Aguejdad; Xavier Briottet; J. Avala; Sophie Fabre; Jean Demuynck; Emmanuel Zenou; Yannick Deville; Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Sébastien Gadal; Walid Ouerghemmi; et al. (IGARSS, 2018)

Stochastic quantum Information Processing, with Applications to blind quantum System identification and Source separation. - Yannick Deville; Alain Deville (MLSP, 2018)

Linear-Quadratic NMF-Based Urban Hyperspectral Data Unmixing With Some Known Endmembers. - Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville (WHISPERS, 2018)

Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data. - Yasmine Kheira Benkouider; Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville; Shahram Hosseini (WHISPERS, 2018)

NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method. - Mireille Guillaume; Louis Juste; Xavier Lenot; Yannick Deville; Bruno Lafrance; Malik Chami; Sylvain Jay; Audrey Minghelli; Xavier Briottet; Véronique Serfaty (WHISPERS, 2018)

A second-order blind source separation method for bilinear mixtures. - Lina Jarboui; Yannick Deville; Shahram Hosseini; Rima Guidara; Ahmed Ben Hamida; Leonardo Tomazeli Duarte (Multidimens. Syst. Signal Process., 2018)

Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: A Hyperspectral Unmixing Method Dealing with Intra-Class Variability. - Charlotte Revel; Yannick Deville; Véronique Achard; Xavier Briottet; Christiane Weber (Remote. Sens., 2018)

An NMF-Based Approach for Hyperspectral Unmixing Using a New Multiplicative-tuning Linear Mixing Model to Address Spectral Variability. - Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville (EUSIPCO, 2019)

A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy. - Andréa Guerrero; Shahram Hosseini; Yannick Deville; Thierry Contini; Tristan Grégoire (ICASSP, 2019)

Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods. - Yannick Deville; Audrey Minghelli; Xavier Briottet; Véronique Serfaty; Salah Eddine Brezini; Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Mireille Guillaume; Xavier Lenot; Bruno Lafrance; Malik Chami; Sylvain Jay (IGARSS, 2019)

A New Hyperspectral Unmixing Method Using Co-Registered Hyperspectral and Panchromatic Images. - Simon Rebeyrol; Yannick Deville; Véronique Achard; Xavier Briottet; Stéphane May (WHISPERS, 2019)

From separability/identifiability properties of bilinear and linear-quadratic mixture matrix factorization to factorization algorithms. - Yannick Deville (Digit. Signal Process., 2019)

N-qubit system in a pure state: a necessary and sufficient condition for unentanglement. - Alain Deville; Yannick Deville (Quantum Inf. Process., 2019)

Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data. - Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Yannick Deville; Khelifa Djerriri; Xavier Briottet; Thomas Houet; Arnaud Le Bris; Christiane Weber (Remote. Sens., 2019)

A second-order statistics method for blind source separation in post-nonlinear mixtures. - Denis G. Fantinato; Leonardo Tomazeli Duarte; Yannick Deville; Romis Attux; Christian Jutten; Aline Neves (Signal Process., 2019)

Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals. - Yannick Deville; Shahram Hosseini (SAM, 2020)

Separation of galaxy spectra measured with slitless spectroscopy. - Shahram Hosseini; Ahmed Selloum; Thierry Contini; Yannick Deville (Digit. Signal Process., 2020)

Blind Unmixing of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint. - Djaouad Benachir; Yannick Deville; Shahram Hosseini; Moussa Sofiane Karoui (Remote. Sens., 2020)

Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects. - Mireille Guillaume; Audrey Minghelli; Yannick Deville; Malik Chami; Louis Juste; Xavier Lenot; Bruno Lafrance; Sylvain Jay; Xavier Briottet; Véronique Serfaty (Remote. Sens., 2020)

Using a Panchromatic Image to Improve Hyperspectral Unmixing. - Simon Rebeyrol; Yannick Deville; Véronique Achard; Xavier Briottet; Stéphane May (Remote. Sens., 2020)

An Informed NMF-Based Unmixing Approach for Mineral Detection and Mapping in the Algerian Central Hoggar Using PRISMA Remote Sensing Hyperspectral Data. - Fatima Zohra Benhalouche; Oussama Benabbou; Lahsen Wahib Kebir; Ahmed Bennia; Moussa Sofiane Karoui; Yannick Deville (IGARSS, 2021)

Gradient-Based NMF Methods for Hyperspectral Unmixing Addressing Spectral Variability with a Multiplicative-Tuning Linear Mixing Model. - Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville (IGARSS, 2021)

A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively-Tuned Mixing Model. - Salah Eddine Brezini; Yannick Deville; Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Abdelaziz Ouamri (IGARSS, 2021)

Fusion of Panchromatic and Hyperspectral Images in the Reflective Domain by a Combinatorial Approach and Application to Urban Landscape. - Yohann Constans; Sophie Fabre; Hervé Carfantan; Michael Seymour; Vincent Crombez; Xavier Briottet; Yannick Deville (IGARSS, 2021)

Hypersharpening by a Multiplicative Joint-Criterion NMF Method Addressing Spectral Variability. - Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Salah Eddine Brezini; Yannick Deville; Yasmine Kheira Benkouider (IGARSS, 2021)

Two-Qubit Unitary Quantum Process Tomography by Multiple-Delay Output Measurements for One Unknown Input Pure State Value. - François Verdeil; Yannick Deville; Alain Deville (SSP, 2021)

Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization. - Fatima Zohra Benhalouche; Yannick Deville; Moussa Sofiane Karoui; Abdelaziz Ouamri (Remote. Sens., 2021)

Decontamination of galaxy spectra using four dispersion directions. - Mostafa Bella; Shahram Hosseini; Hicham Saylani; Thierry Contini; Tristan Grégoire; Andréa Guerrero; Yannick Deville (EUSIPCO, 2022)

Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources. - Shahram Hosseini; Yannick Deville (ICASSP, 2022)

Minerals Detection and Mapping in the Southwestern Algeria Gara-Djebilet Region with a Multistage Informed NMF-Based Unmixing Approach Using Prisma Remote Sensing Hyperspectral Data. - Fatima Zohra Benhalouche; Oussama Benabbou; Moussa Sofiane Karoui; Lahsen Wahib Kebir; Ahmed Bennia; Yannick Deville (IGARSS, 2022)

A Gradient-Based Method for the Modified Augmented Linear Mixing Model Addressing Spectral Variability for Hyperspectral Unmixing. - Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Yannick Deville (IGARSS, 2022)

Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation. - Mostafa Bella; Hicham Saylani; Shahram Hosseini; Yannick Deville (MMSP, 2022)

Hypersharpening by an NMF-Unmixing-Based Method Addressing Spectral Variability. - Salah Eddine Brezini; Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Yannick Deville; Abdelaziz Ouamri (IEEE Geosci. Remote. Sens. Lett., 2022)

Statistical intrusion detection and eavesdropping in quantum channels with coupling: multiple-preparation and single-preparation methods. - Yannick Deville; Alain Deville; Ali Mansour; Cornel Ioana (Quantum Inf. Process., 2022)

Hyperspectral Pansharpening in the Reflective Domain with a Second Panchromatic Channel in the SWIR II Spectral Domain. - Yohann Constans; Sophie Fabre; Michael Seymour; Vincent Crombez; Yannick Deville; Xavier Briottet (Remote. Sens., 2022)

New Informed Linear Mixing Model And NMF-Based Unmixing Method Addressing Spectral Variability With An Application To Mineral Detection And Mapping Using Prisma Hyperspectral Remote Sensing Data. - Fatima Zohra Benhalouche; Oussama Benabbou; Oualid Yahia; Moussa Sofiane Karoui; Yannick Deville; Lahsen Wahib Kebir; Ahmed Bennia (IGARSS, 2023)

A Novel Linear Mixing Model Addressing Spectral-Spatial Intra-Class Variability with an Associated Penalized NMF-Based Hyperspectral Unmixing Algorithm. - Moussa Sofiane Karoui; Fatima Zohra Benhalouche; Yannick Deville (IGARSS, 2023)

Blind Processing Methods for Quantum Channels: Identification, Equalization and Source Separation. - Yannick Deville; Alain Deville (MLSP, 2023)

Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming. - Mostafa Bella; Hicham Saylani; Shahram Hosseini; Yannick Deville (IEEE Access, 2023)

Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability. - Salah Eddine Brezini; Yannick Deville (Sensors, 2023)

An NMF-based method for jointly handling mixture nonlinearity and intraclass variability in hyperspectral blind source separation. - Yannick Deville; Guillaume Faury; Véronique Achard; Xavier Briottet (Digit. Signal Process., 2023)

Exploiting the higher-order statistics of random-coefficient pure states for quantum information processing. - Yannick Deville; Alain Deville (Quantum Inf. Process., 2023)

Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects. - Yannick Deville; Salah Eddine Brezini; Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Mireille Guillaume; Xavier Lenot; Bruno Lafrance; Malik Chami; Sylvain Jay; Audrey Minghelli; Xavier Briottet; Véronique Serfaty (Remote. Sens., 2023)

Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution. - Mostafa Bella; Shahram Hosseini; Hicham Saylani; Thierry Contini; Tristan Grégoire; Yannick Deville (ICASSP, 2024)

A New ADMM-Based Hyperspectral Unmixing Algorithm Associated with a Linear Mixing Model Addressing Spectral Variability with a Multiplicative Structure. - Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville (IGARSS, 2024)

Nonlinear Unmixing Based Marine Mucilage Monitoring. - Çagatay Esi; Alp Ertürk; Fatima Zohra Benhalouche; Moussa Sofiane Karoui; Yannick Deville (IGARSS, 2024)

Informed NMF-Based Unmixing Method Addressing Spectral Variability for Marine Mucilage Mapping using Hyperspectral Prisma Data. - Moussa Sofiane Karoui; Alp Ertürk; Fatima Zohra Benhalouche; Yannick Deville; Çagatay Esi (IGARSS, 2024)

Hyperspectral Bilinear Endmember Spectra Extraction Using a New Shifting Multiplicative NMF Method. - Alejandra Inga Quezada; Leonardo Tomazeli Duarte; Yannick Deville; Fatima Zohra Benhalouche; Moussa Sofiane Karoui (WHISPERS, 2024)

Quantum Information: Systems, Their States, and the Use of Variances. - Alain Deville; Yannick Deville (Inf., 2024)

Hyperspectral unmixing with spectral variability: Reducing sensitivity to learning parameters, by combining linear and nonlinear NMF algorithms. - Yannick Deville; Guillaume Faury (Digit. Signal Process., 2025)