Yannick Deville
Orcid: 0000-0002-8769-2446
According to our database1,
Yannick Deville
authored at least 163 papers
between 1990 and 2024.
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Bibliography
2024
Inf., May, 2024
Informed NMF-Based Unmixing Method Addressing Spectral Variability for Marine Mucilage Mapping using Hyperspectral Prisma Data.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IGARSS 2024, 2024
A New ADMM-Based Hyperspectral Unmixing Algorithm Associated with a Linear Mixing Model Addressing Spectral Variability with a Multiplicative Structure.
Proceedings of the IGARSS 2024, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects.
Remote. Sens., September, 2023
Exploiting the higher-order statistics of random-coefficient pure states for quantum information processing.
Quantum Inf. Process., May, 2023
An NMF-based method for jointly handling mixture nonlinearity and intraclass variability in hyperspectral blind source separation.
Digit. Signal Process., March, 2023
Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability.
Sensors, February, 2023
Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming.
IEEE Access, 2023
Blind Processing Methods for Quantum Channels: Identification, Equalization and Source Separation.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023
A Novel Linear Mixing Model Addressing Spectral-Spatial Intra-Class Variability with an Associated Penalized NMF-Based Hyperspectral Unmixing Algorithm.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Hyperspectral Pansharpening in the Reflective Domain with a Second Panchromatic Channel in the SWIR II Spectral Domain.
Remote. Sens., 2022
Statistical intrusion detection and eavesdropping in quantum channels with coupling: multiple-preparation and single-preparation methods.
Quantum Inf. Process., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022
A Gradient-Based Method for the Modified Augmented Linear Mixing Model Addressing Spectral Variability for Hyperspectral Unmixing.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization.
Remote. Sens., 2021
Two-Qubit Unitary Quantum Process Tomography by Multiple-Delay Output Measurements for One Unknown Input Pure State Value.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021
Hypersharpening by a Multiplicative Joint-Criterion NMF Method Addressing Spectral Variability.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Fusion of Panchromatic and Hyperspectral Images in the Reflective Domain by a Combinatorial Approach and Application to Urban Landscape.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively-Tuned Mixing Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Gradient-Based NMF Methods for Hyperspectral Unmixing Addressing Spectral Variability with a Multiplicative-Tuning Linear Mixing Model.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
An Informed NMF-Based Unmixing Approach for Mineral Detection and Mapping in the Algerian Central Hoggar Using PRISMA Remote Sensing Hyperspectral Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects.
Remote. Sens., 2020
Blind Unmixing of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint.
Remote. Sens., 2020
Digit. Signal Process., 2020
Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020
2019
A second-order statistics method for blind source separation in post-nonlinear mixtures.
Signal Process., 2019
Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data.
Remote. Sens., 2019
<i>N</i>-qubit system in a pure state: a necessary and sufficient condition for unentanglement.
Quantum Inf. Process., 2019
From separability/identifiability properties of bilinear and linear-quadratic mixture matrix factorization to factorization algorithms.
Digit. Signal Process., 2019
A New Hyperspectral Unmixing Method Using Co-Registered Hyperspectral and Panchromatic Images.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019
Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy.
Proceedings of the IEEE International Conference on Acoustics, 2019
An NMF-Based Approach for Hyperspectral Unmixing Using a New Multiplicative-tuning Linear Mixing Model to Address Spectral Variability.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: A Hyperspectral Unmixing Method Dealing with Intra-Class Variability.
Remote. Sens., 2018
Multidimens. Syst. Signal Process., 2018
NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Linear-Quadratic NMF-Based Urban Hyperspectral Data Unmixing With Some Known Endmembers.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
Stochastic quantum Information Processing, with Applications to blind quantum System identification and Source separation.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Detection And Area Estimation For Photovoltaic Panels In Urban Hyperspectral Remote Sensing Data By An Original Nmf-Based Unmixing Method.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
New Classes of Blind Quantum Source Separation and Process Tomography Methods Based on Spin Component Measurements Along Two Directions.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
2017
IEEE Trans. Geosci. Remote. Sens., 2017
Concepts and Criteria for Blind Quantum Source Separation and Blind Quantum Process Tomography.
Entropy, 2017
Blind quantum source separation: Quantum-processing qubit uncoupling systems based on disentanglement.
Digit. Signal Process., 2017
Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: a Hyperspectral Unmixing Method Dealing with Intra-class Variability.
CoRR, 2017
Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Fast Disentanglement-Based Blind Quantum Source Separation and Process Tomography: A Closed-Form Solution Using a Feedback Classical Adapting Structure.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
A Blind Identification and Source Separation Method Based on Subspace Intersections for Hyperspectral Astrophysical Data.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017
A new multiplicative nonnegative matrix factorization method for unmixing hyperspectral images combined with multispectral data.
Proceedings of the 25th European Signal Processing Conference, 2017
Impact of the initialisation of a blind unmixing method dealing with intra-class variability.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
Analytical performance analysis for blind quantum source separation with time-varying coupling.
Proceedings of the 23rd Asia-Pacific Conference on Communications, 2017
2016
A linear-quadratic unsupervised hyperspectral unmixing method dealing with intra-class variability.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016
Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016
Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Fast disentanglement-based blind quantum source separation and process tomography using a feedforward quantum-classical adapting structure.
Proceedings of the 24th European Signal Processing Conference, 2016
A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures.
Proceedings of the 24th European Signal Processing Conference, 2016
2015
A method based on nonnegative matrix factorization dealing with intra-class variability for unsupervised hyperspectral unmixing.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015
Hyperspectral data multi-sharpening based on linear-quadratic nonnegative matrix factorization.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015
Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy.
Proceedings of the 23rd European Signal Processing Conference, 2015
Matrix factorization for bilinear blind source separation: Methods, separability and conditioning.
Proceedings of the 23rd European Signal Processing Conference, 2015
2014
Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images.
IEEE Trans. Signal Process., 2014
Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources.
IEEE Trans. Signal Process., 2014
IEEE Trans. Geosci. Remote. Sens., 2014
Characterization of hyperspectral images prior to unmixing, based on eigendecompositions and sum-to-one condition.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Blind qubit state disentanglement with Quantum processing: Principle, criterion and algorithm using measurements along two directions.
Proceedings of the IEEE International Conference on Acoustics, 2014
Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties.
Proceedings of the IEEE International Conference on Acoustics, 2014
A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014
2013
Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations.
Signal Process., 2013
Joint nonnegative matrix factorization for hyperspectral and multispectral remote sensing data fusion.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis.
Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2013
A Quantum-feedforward and classical-feedback separating structure adapted with monodirectional measurements; Blind qubit uncoupling capability and links with ICA.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Proceedings of the 21st European Signal Processing Conference, 2013
2012
ICA-based and second-order separability of nonlinear models involving reference signals: General properties and application to quantum bits.
Signal Process., 2012
Classical-processing and quantum-processing signal separation methods for qubit uncoupling.
Quantum Inf. Process., 2012
Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints.
Pattern Recognit., 2012
A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization.
Proceedings of the Image and Signal Processing - 5th International Conference, 2012
Proceedings of the Image and Signal Processing - 5th International Conference, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
Proceedings of the Latent Variable Analysis and Signal Separation, 2012
2011
Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures.
Signal Process., 2011
Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011
A blind quantum source separation method based on mutual information for retrieving two qubits with cylindrical-symmetry heisenberg coupling.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011
Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing.
Proceedings of the 19th European Signal Processing Conference, 2011
2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
ICA Separability of Nonlinear Models with References: General Properties and Application to Heisenberg-Coupled Quantum States (Qubits).
Proceedings of the Latent Variable Analysis and Signal Separation, 2010
Proceedings of the 18th European Signal Processing Conference, 2010
Cumulant-based estimation of quadratic mixture parameters for blind source separation.
Proceedings of the 18th European Signal Processing Conference, 2010
2009
Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields.
IEEE Trans. Image Process., 2009
Blind Separation of Nonstationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm.
IEEE Signal Process. Lett., 2009
Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain.
Signal Process., 2009
Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations.
Signal Process., 2009
Improvement of remote sensing multispectral image classification by using Independent Component Analysis.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009
Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources.
Proceedings of the Independent Component Analysis and Signal Separation, 2009
Proceedings of the Independent Component Analysis and Signal Separation, 2009
2008
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification.
IEEE Trans. Signal Process., 2008
Blind partial separation of underdetermined convolutive mixtures of complex sources based on differential normalized kurtosis.
Neurocomputing, 2008
Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources.
Proceedings of the IEEE International Conference on Acoustics, 2008
Maximum likelihood blind separation of two quantum states (qubits) with cylindrical-symmetry Heisenberg spin coupling.
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Differential Fast Fixed-Point Algorithms for Underdetermined Instantaneous and Convolutive Partial Blind Source Separation.
IEEE Trans. Signal Process., 2007
Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures.
Signal Process., 2007
Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals.
Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Blind Separation of Quantum States: Estimating Two Qubits from an Isotropic Heisenberg Spin Coupling Model.
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles.
Proceedings of the Independent Component Analysis and Signal Separation, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
IEEE Signal Process. Lett., 2006
A Time-Frequency CORRelation-Based Blind Source Separation Method for Time-Delayed Mixtures.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006
A time-scale correlation-based blind separation method applicable to correlated sources.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2005
A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources.
Signal Process., 2005
2004
Differential source separation for underdetermined instantaneous or convolutive mixtures: concept and algorithms.
Signal Process., 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004
2003
Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
A Time-Frequency Blind Source Separation Method Based on Segmented Coherence Function.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
Blind separation of dependent sources using the "time-frequency ratio of mixtures" approach.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003
2002
Multi-tag radio-frequency identification systems based on new blind source separation neural networks.
Neurocomputing, 2002
Analysis and control of the stability of a differential separation method for underdetermined convolutive mixtures.
Proceedings of the 11th European Signal Processing Conference, 2002
2001
Signal Process. Image Commun., 2001
Blind Source Separation in Convolutive Mixtures: A Hybrid Approach for Colored Sources.
Proceedings of the Bio-inspired Applications of Connectionism, 2001
A second-order differential approach for underdetermined convolutive source separation.
Proceedings of the IEEE International Conference on Acoustics, 2001
2000
Differential source separation: Concept and application to a criterion based on differential normalized kurtosis.
Proceedings of the 10th European Signal Processing Conference, 2000
A criterion for deriving the sub/super gaussianity of source signals from their mixtures.
Proceedings of the 10th European Signal Processing Conference, 2000
Proceedings of the 10th European Signal Processing Conference, 2000
1999
Analysis of the convergence properties of self-normalized source separation neural networks.
IEEE Trans. Signal Process., 1999
Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour.
Signal Process., 1999
Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals.
Signal Process., 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
1997
Analysis of the stability of time-domain source separation algorithms for convolutively mixed signals.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997
Optimization of the asymptotic performance of time-domain convolutive source separation algorithms.
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997
1996
Signal Process., 1996
1993
SIGARCH Comput. Archit. News, 1993
Int. J. Neural Syst., 1993
1992
SIGARCH Comput. Archit. News, 1992
1990
SIGARCH Comput. Archit. News, 1990