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Yannick Deville
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2020 – today
- 2024
- [j53]Alain Deville
, Yannick Deville
:
Quantum Information: Systems, Their States, and the Use of Variances. Inf. 15(5): 247 (2024) - [c107]Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Yannick Deville:
Fourier Domain Approach for Galaxy Spectra Decontamination and Deconvolution. ICASSP 2024: 5995-5999 - 2023
- [j52]Mostafa Bella
, Hicham Saylani, Shahram Hosseini, Yannick Deville
:
Multi-Channel Bin-Wise Speech Separation Combining Time-Frequency Masking and Beamforming. IEEE Access 11: 100632-100645 (2023) - [j51]Yannick Deville
, Guillaume Faury, Véronique Achard, Xavier Briottet:
An NMF-based method for jointly handling mixture nonlinearity and intraclass variability in hyperspectral blind source separation. Digit. Signal Process. 133: 103838 (2023) - [j50]Yannick Deville
, Alain Deville:
Exploiting the higher-order statistics of random-coefficient pure states for quantum information processing. Quantum Inf. Process. 22(5): 216 (2023) - [j49]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:
Modeling and Unsupervised Unmixing Based on Spectral Variability for Hyperspectral Oceanic Remote Sensing Data with Adjacency Effects. Remote. Sens. 15(18): 4583 (2023) - [j48]Salah Eddine Brezini
, Yannick Deville
:
Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability. Sensors 23(4): 2341 (2023) - [c106]Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Yannick Deville:
A Novel Linear Mixing Model Addressing Spectral-Spatial Intra-Class Variability with an Associated Penalized NMF-Based Hyperspectral Unmixing Algorithm. IGARSS 2023: 7535-7538 - [c105]Fatima Zohra Benhalouche, Oussama Benabbou, Oualid Yahia, Moussa Sofiane Karoui, Yannick Deville, Lahsen Wahib Kebir, Ahmed Bennia:
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. IGARSS 2023: 7539-7542 - [c104]Yannick Deville, Alain Deville:
Blind Processing Methods for Quantum Channels: Identification, Equalization and Source Separation. MLSP 2023: 1-6 - 2022
- [j47]Salah Eddine Brezini
, Moussa Sofiane Karoui
, Fatima Zohra Benhalouche
, Yannick Deville
, Abdelaziz Ouamri:
Hypersharpening by an NMF-Unmixing-Based Method Addressing Spectral Variability. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j46]Yannick Deville
, Alain Deville
, Ali Mansour
, Cornel Ioana
:
Statistical intrusion detection and eavesdropping in quantum channels with coupling: multiple-preparation and single-preparation methods. Quantum Inf. Process. 21(3): 94 (2022) - [j45]Yohann Constans
, Sophie Fabre
, Michael Seymour
, Vincent Crombez, Yannick Deville
, Xavier Briottet
:
Hyperspectral Pansharpening in the Reflective Domain with a Second Panchromatic Channel in the SWIR II Spectral Domain. Remote. Sens. 14(1): 113 (2022) - [c103]Mostafa Bella, Shahram Hosseini, Hicham Saylani, Thierry Contini, Tristan Grégoire, Andréa Guerrero, Yannick Deville:
Decontamination of galaxy spectra using four dispersion directions. EUSIPCO 2022: 1981-1985 - [c102]Shahram Hosseini, Yannick Deville:
Blind Separation of Linear-Quadratic Mixtures of Mutually Independent and Autocorrelated Sources. ICASSP 2022: 4383-4387 - [c101]Moussa Sofiane Karoui
, Fatima Zohra Benhalouche, Yannick Deville:
A Gradient-Based Method for the Modified Augmented Linear Mixing Model Addressing Spectral Variability for Hyperspectral Unmixing. IGARSS 2022: 3279-3282 - [c100]Fatima Zohra Benhalouche, Oussama Benabbou, Moussa Sofiane Karoui
, Lahsen Wahib Kebir, Ahmed Bennia, Yannick Deville:
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. IGARSS 2022: 6422-6425 - [c99]Mostafa Bella
, Hicham Saylani, Shahram Hosseini, Yannick Deville:
Bin-Wise Combination of Time-Frequency Masking and Beamforming for Convolutive Source Separation. MMSP 2022: 1-6 - 2021
- [j44]Fatima Zohra Benhalouche
, Yannick Deville
, Moussa Sofiane Karoui
, Abdelaziz Ouamri:
Hyperspectral Unmixing Based on Constrained Bilinear or Linear-Quadratic Matrix Factorization. Remote. Sens. 13(11): 2132 (2021) - [c98]Fatima Zohra Benhalouche, Oussama Benabbou, Lahsen Wahib Kebir, Ahmed Bennia, Moussa Sofiane Karoui
, Yannick Deville:
An Informed NMF-Based Unmixing Approach for Mineral Detection and Mapping in the Algerian Central Hoggar Using PRISMA Remote Sensing Hyperspectral Data. IGARSS 2021: 1863-1866 - [c97]Yohann Constans, Sophie Fabre, Hervé Carfantan, Michael Seymour, Vincent Crombez, Xavier Briottet, Yannick Deville:
Fusion of Panchromatic and Hyperspectral Images in the Reflective Domain by a Combinatorial Approach and Application to Urban Landscape. IGARSS 2021: 2648-2651 - [c96]Fatima Zohra Benhalouche, Moussa Sofiane Karoui
, Yannick Deville:
Gradient-Based NMF Methods for Hyperspectral Unmixing Addressing Spectral Variability with a Multiplicative-Tuning Linear Mixing Model. IGARSS 2021: 3205-3208 - [c95]Salah Eddine Brezini
, Yannick Deville, Moussa Sofiane Karoui
, Fatima Zohra Benhalouche, Abdelaziz Ouamri:
A Penalization-Based NMF Approach for Hyperspectral Unmixing Addressing Spectral Variability with an Additively-Tuned Mixing Model. IGARSS 2021: 3841-3844 - [c94]Moussa Sofiane Karoui
, Fatima Zohra Benhalouche, Salah Eddine Brezini
, Yannick Deville, Yasmine Kheira Benkouider:
Hypersharpening by a Multiplicative Joint-Criterion NMF Method Addressing Spectral Variability. IGARSS 2021: 4472-4475 - [c93]François Verdeil, Yannick Deville, Alain Deville:
Two-Qubit Unitary Quantum Process Tomography by Multiple-Delay Output Measurements for One Unknown Input Pure State Value. SSP 2021: 161-165 - 2020
- [j43]Shahram Hosseini, Ahmed Selloum, Thierry Contini, Yannick Deville:
Separation of galaxy spectra measured with slitless spectroscopy. Digit. Signal Process. 106: 102837 (2020) - [j42]Mireille Guillaume
, Audrey Minghelli
, Yannick Deville
, Malik Chami
, Louis Juste, Xavier Lenot, Bruno Lafrance, Sylvain Jay
, Xavier Briottet
, Véronique Serfaty:
Mapping Benthic Habitats by Extending Non-Negative Matrix Factorization to Address the Water Column and Seabed Adjacency Effects. Remote. Sens. 12(13): 2072 (2020) - [j41]Simon Rebeyrol
, Yannick Deville
, Véronique Achard
, Xavier Briottet
, Stéphane May:
Using a Panchromatic Image to Improve Hyperspectral Unmixing. Remote. Sens. 12(17): 2834 (2020) - [j40]Djaouad Benachir, Yannick Deville
, Shahram Hosseini, Moussa Sofiane Karoui
:
Blind Unmixing of Hyperspectral Remote Sensing Data: A New Geometrical Method Based on a Two-Source Sparsity Constraint. Remote. Sens. 12(19): 3198 (2020) - [c92]Yannick Deville, Shahram Hosseini:
Blind source separation methods based on output nonlinear correlation for bilinear mixtures of an arbitrary number of possibly correlated signals. SAM 2020: 1-5
2010 – 2019
- 2019
- [j39]Yannick Deville
:
From separability/identifiability properties of bilinear and linear-quadratic mixture matrix factorization to factorization algorithms. Digit. Signal Process. 87: 21-33 (2019) - [j38]Alain Deville
, Yannick Deville
:
N-qubit system in a pure state: a necessary and sufficient condition for unentanglement. Quantum Inf. Process. 18(10): 320 (2019) - [j37]Moussa Sofiane Karoui
, Fatima Zohra Benhalouche
, Yannick Deville
, Khelifa Djerriri, Xavier Briottet
, Thomas Houet
, Arnaud Le Bris, Christiane Weber
:
Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data. Remote. Sens. 11(18): 2164 (2019) - [j36]Denis G. Fantinato
, Leonardo Tomazeli Duarte
, Yannick Deville, Romis Attux, Christian Jutten, Aline Neves
:
A second-order statistics method for blind source separation in post-nonlinear mixtures. Signal Process. 155: 63-72 (2019) - [c91]Fatima Zohra Benhalouche, Moussa Sofiane Karoui
, Yannick Deville:
An NMF-Based Approach for Hyperspectral Unmixing Using a New Multiplicative-tuning Linear Mixing Model to Address Spectral Variability. EUSIPCO 2019: 1-5 - [c90]Andréa Guerrero, Shahram Hosseini, Yannick Deville, Thierry Contini, Tristan Grégoire:
A New Separation Method for Galaxy Spectra Based on Data Fusion between Two Grism Orders in Slitless Spectroscopy. ICASSP 2019: 4245-4249 - [c89]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
:
Hyperspectral Oceanic Remote Sensing With Adjacency Effects: From Spectral-Variability-Based Modeling To Performance Of Associated Blind Unmixing Methods. IGARSS 2019: 282-285 - [c88]Simon Rebeyrol, Yannick Deville, Véronique Achard, Xavier Briottet, Stéphane May:
A New Hyperspectral Unmixing Method Using Co-Registered Hyperspectral and Panchromatic Images. WHISPERS 2019: 1-5 - 2018
- [j35]Lina Jarboui
, Yannick Deville, Shahram Hosseini, Rima Guidara, Ahmed Ben Hamida, Leonardo Tomazeli Duarte
:
A second-order blind source separation method for bilinear mixtures. Multidimens. Syst. Signal Process. 29(3): 1153-1172 (2018) - [j34]Charlotte Revel, Yannick Deville
, Véronique Achard
, Xavier Briottet
, Christiane Weber
:
Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: A Hyperspectral Unmixing Method Dealing with Intra-Class Variability. Remote. Sens. 10(11): 1706 (2018) - [c87]Andréa Guerrero, Yannick Deville, Shahram Hosseini:
A Blind Source Separation Method Based on Output Nonlinear Correlation for Bilinear Mixtures. LVA/ICA 2018: 183-192 - [c86]Denis G. Fantinato, Leonardo Tomazeli Duarte
, Yannick Deville, Christian Jutten, Romis Attux, Aline Neves
:
Using Taylor Series Expansions and Second-Order Statistics for Blind Source Separation in Post-Nonlinear Mixtures. LVA/ICA 2018: 193-203 - [c85]Yannick Deville, Alain Deville:
New Classes of Blind Quantum Source Separation and Process Tomography Methods Based on Spin Component Measurements Along Two Directions. LVA/ICA 2018: 204-214 - [c84]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, Clément Mallet, Arnaud Le Bris, Nesrine Chehata
:
Hyperspectral Imagery for Environmental Urban Planning. IGARSS 2018: 1628-1631 - [c83]Moussa Sofiane Karoui
, Fatima Zohra Benhalouche, Yannick Deville, Khelifa Djerriri, Xavier Briottet, Arnaud Le Bris:
Detection And Area Estimation For Photovoltaic Panels In Urban Hyperspectral Remote Sensing Data By An Original Nmf-Based Unmixing Method. IGARSS 2018: 1640-1643 - [c82]Yannick Deville, Alain Deville:
Stochastic quantum Information Processing, with Applications to blind quantum System identification and Source separation. MLSP 2018: 1-6 - [c81]Fatima Zohra Benhalouche, Moussa Sofiane Karoui
, Yannick Deville:
Linear-Quadratic NMF-Based Urban Hyperspectral Data Unmixing With Some Known Endmembers. WHISPERS 2018: 1-5 - [c80]Yasmine Kheira Benkouider, Fatima Zohra Benhalouche, Moussa Sofiane Karoui
, Yannick Deville, Shahram Hosseini:
Bilinear Matrix Factorization using a Gradient Method for Unmixing Hyperspectral Images Combinedc with Multispectral Data. WHISPERS 2018: 1-5 - [c79]Mireille Guillaume, Louis Juste, Xavier Lenot, Yannick Deville, Bruno Lafrance, Malik Chami, Sylvain Jay
, Audrey Minghelli, Xavier Briottet, Véronique Serfaty:
NMF Hyperspectral Unmixing Of The Sea Bottom: Influence Of The Adjacency Effects, Model and Method. WHISPERS 2018: 1-5 - [e1]Yannick Deville, Sharon Gannot, Russell Mason
, Mark D. Plumbley
, Dominic Ward:
Latent Variable Analysis and Signal Separation - 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings. Lecture Notes in Computer Science 10891, Springer 2018, ISBN 978-3-319-93763-2 [contents] - 2017
- [j33]Yannick Deville, Alain Deville:
Blind quantum source separation: Quantum-processing qubit uncoupling systems based on disentanglement. Digit. Signal Process. 67: 30-51 (2017) - [j32]Alain Deville
, Yannick Deville
:
Concepts and Criteria for Blind Quantum Source Separation and Blind Quantum Process Tomography. Entropy 19(7): 311 (2017) - [j31]Moussa Sofiane Karoui
, Yannick Deville, Fatima Zohra Benhalouche, Issam Boukerch:
Hypersharpening by Joint-Criterion Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 55(3): 1660-1670 (2017) - [c78]Yannick Deville, Alain Deville, Simon Rebeyrol, Ali Mansour:
Analytical performance analysis for blind quantum source separation with time-varying coupling. APCC 2017: 1-6 - [c77]Charlotte Revel, Yannick Deville, Véronique Achard, Xavier Briottet:
Impact of the initialisation of a blind unmixing method dealing with intra-class variability. ESANN 2017 - [c76]Yasmine Kheira Benkouider, Moussa Sofiane Karoui
, Yannick Deville, Shahram Hosseini:
A new multiplicative nonnegative matrix factorization method for unmixing hyperspectral images combined with multispectral data. EUSIPCO 2017: 483-487 - [c75]Axel Boulais, Yannick Deville, Olivier Berné:
A Blind Identification and Source Separation Method Based on Subspace Intersections for Hyperspectral Astrophysical Data. LVA/ICA 2017: 367-380 - [c74]Yannick Deville, Alain Deville:
Fast Disentanglement-Based Blind Quantum Source Separation and Process Tomography: A Closed-Form Solution Using a Feedback Classical Adapting Structure. LVA/ICA 2017: 438-448 - [c73]Moussa Sofiane Karoui
, Shahram Hosseini, Yannick Deville, Abdelaziz Ouamri, Ines Meganem:
Modified nonnegative matrix factorization for endmember spectra extraction from highly mixed hyperspectral images combined with multispectral data. ICASSP 2017: 1572-1576 - [i1]Charlotte Revel, Yannick Deville, Véronique Achard, Xavier Briottet:
Inertia-Constrained Pixel-by-Pixel Nonnegative Matrix Factorisation: a Hyperspectral Unmixing Method Dealing with Intra-class Variability. CoRR abs/1702.07630 (2017) - 2016
- [c72]Yannick Deville, Alain Deville:
Fast disentanglement-based blind quantum source separation and process tomography using a feedforward quantum-classical adapting structure. EUSIPCO 2016: 503-507 - [c71]Yves-Marie Batany, Daniela Donno, Leonardo Tomazeli Duarte
, Hervé Chauris, Yannick Deville, João Marcos Travassos Romano:
A necessary and sufficient condition for the blind extraction of the sparsest source in convolutive mixtures. EUSIPCO 2016: 1628-1632 - [c70]Lina Jarboui
, Shahram Hosseini, Rima Guidara, Yannick Deville, Ahmed Ben Hamida:
A map-based NMF approach to hyperspectral image unmixing using a linear-quadratic mixture model. ICASSP 2016: 3356-3360 - [c69]Fatima Zohra Benhalouche, Yannick Deville, Moussa Sofiane Karoui
, Abdelaziz Ouamri:
Bilinear matrix factorization using a gradient method for hyperspectral endmember spectra extraction. IGARSS 2016: 6565-6568 - [c68]Fatima Zohra Benhalouche, Yannick Deville, Moussa Sofiane Karoui
, Abdelaziz Ouamri:
Hyperspectral endmember spectra extraction based on constrained linear-quadratic matrix factorization using a projected gradient method. MLSP 2016: 1-6 - [c67]Shahram Hosseini, Yannick Deville, Leonardo Tomazeli Duarte
, Ahmed Selloum:
Extending NMF to blindly separate linear-quadratic mixtures of uncorrelated sources. MLSP 2016: 1-6 - [c66]Ahmed Selloum, Shahram Hosseini, Yannick Deville, Thierry Contini:
Mixing model in slitless spectroscopy and resulting blind methods for separating galaxy spectra. MLSP 2016: 1-6 - [c65]Charlotte Revel, Yannick Deville, Véronique Achard, Xavier Briottet:
A linear-quadratic unsupervised hyperspectral unmixing method dealing with intra-class variability. WHISPERS 2016: 1-5 - 2015
- [c64]Ahmed Selloum, Shahram Hosseini, Thierry Contini, Yannick Deville:
Semi-blind separation of galaxy spectra from a mixture obtained by slitless spectroscopy. EUSIPCO 2015: 1641-1645 - [c63]Yannick Deville:
Matrix factorization for bilinear blind source separation: Methods, separability and conditioning. EUSIPCO 2015: 1900-1904 - [c62]Yannick Deville, Leonardo Tomazeli Duarte
:
An Overview of Blind Source Separation Methods for Linear-Quadratic and Post-nonlinear Mixtures. LVA/ICA 2015: 155-167 - [c61]Yannick Deville, Alain Deville:
From Blind Quantum Source Separation to Blind Quantum Process Tomography. LVA/ICA 2015: 184-192 - [c60]Fatima Zohra Benhalouche, Moussa Sofiane Karoui
, Yannick Deville, Abdelaziz Ouamri
:
Hyperspectral data multi-sharpening based on linear-quadratic nonnegative matrix factorization. IGARSS 2015: 3290-3293 - [c59]Charlotte Revel, Yannick Deville, Véronique Achard, Xavier Briottet:
A method based on nonnegative matrix factorization dealing with intra-class variability for unsupervised hyperspectral unmixing. WHISPERS 2015: 1-4 - 2014
- [j30]Ines Meganem, Philippe Déliot, Xavier Briottet, Yannick Deville, Shahram Hosseini:
Linear-Quadratic Mixing Model for Reflectances in Urban Environments. IEEE Trans. Geosci. Remote. Sens. 52(1): 544-558 (2014) - [j29]Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet:
Linear-Quadratic Blind Source Separation Using NMF to Unmix Urban Hyperspectral Images. IEEE Trans. Signal Process. 62(7): 1822-1833 (2014) - [j28]Shahram Hosseini, Yannick Deville:
Blind Separation of Parametric Nonlinear Mixtures of Possibly Autocorrelated and Non-Stationary Sources. IEEE Trans. Signal Process. 62(24): 6521-6533 (2014) - [c58]Lina Jarboui
, Shahram Hosseini, Yannick Deville, Rima Guidara, Ahmed Ben Hamida:
A new unsupervised method for hyperspectral image unmixing using a linear-quadratic model. ATSIP 2014: 423-428 - [c57]Djaouad Benachir, Yannick Deville, Shahram Hosseini:
Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties. ICASSP 2014: 3171-3175 - [c56]Yannick Deville, Alain Deville:
Blind qubit state disentanglement with Quantum processing: Principle, criterion and algorithm using measurements along two directions. ICASSP 2014: 6221-6225 - [c55]Yannick Deville, Charlotte Revel, Xavier Briottet, Véronique Achard:
Characterization of hyperspectral images prior to unmixing, based on eigendecompositions and sum-to-one condition. WHISPERS 2014: 1-4 - 2013
- [j27]Shahram Hosseini, Yannick Deville:
Recurrent networks for separating extractable-target nonlinear mixtures. Part II. Blind configurations. Signal Process. 93(4): 671-683 (2013) - [c54]Ines Meganem, Shahram Hosseini, Yannick Deville:
Positivity-based separation of stellar spectra using a parametric mixing model. EUSIPCO 2013: 1-5 - [c53]Yannick Deville, Alain Deville:
A Quantum-feedforward and classical-feedback separating structure adapted with monodirectional measurements; Blind qubit uncoupling capability and links with ICA. MLSP 2013: 1-6 - [c52]Djaouad Benachir, Yannick Deville, Shahram Hosseini, Moussa Sofiane Karoui
, Abdelkader Hameurlain:
Hyperspectral image unmixing by non-negative matrix factorization initialized with modified independent component analysis. WHISPERS 2013: 1-4 - [c51]Olivier Berné, Axel Boulais, Yannick Deville, Christine Joblin, Jérome Pety, D. Teyssier, Maryvonne Gerin:
NMF-Based spectral unmixingof herschel observations of the horsehead nebula. WHISPERS 2013: 1-4 - [c50]Moussa Sofiane Karoui
, Yannick Deville, Sarah Kreri:
Joint nonnegative matrix factorization for hyperspectral and multispectral remote sensing data fusion. WHISPERS 2013: 1-4 - 2012
- [j26]Moussa Sofiane Karoui
, Yannick Deville, Shahram Hosseini, Abdelaziz Ouamri
:
Blind spatial unmixing of multispectral images: New methods combining sparse component analysis, clustering and non-negativity constraints. Pattern Recognit. 45(12): 4263-4278 (2012) - [j25]Yannick Deville, Alain Deville:
Classical-processing and quantum-processing signal separation methods for qubit uncoupling. Quantum Inf. Process. 11(6): 1311-1347 (2012) - [j24]Yannick Deville:
ICA-based and second-order separability of nonlinear models involving reference signals: General properties and application to quantum bits. Signal Process. 92(8): 1785-1795 (2012) - [c49]Yannick Deville, Alain Deville:
Exact and Approximate Quantum Independent Component Analysis for Qubit Uncoupling. LVA/ICA 2012: 58-65 - [c48]Leonardo Tomazeli Duarte
, Rafael A. Ando, Romis Ribeiro Faissol Attux, Yannick Deville, Christian Jutten:
Separation of Sparse Signals in Overdetermined Linear-Quadratic Mixtures. LVA/ICA 2012: 239-246 - [c47]Shahram Hosseini, Yannick Deville, Sonia El Amine, Hicham Saylani:
Nonlinear Blind Source Separation Applied to a Simple Bijective Model. ICISP 2012: 157-165 - [c46]Hicham Saylani, Shahram Hosseini, Yannick Deville:
Blind Separation of Convolutive Mixtures of Non-stationary and Temporally Uncorrelated Sources Based on Joint Diagonalization. ICISP 2012: 191-199 - [c45]Moussa Sofiane Karoui
, Yannick Deville, Shahram Hosseini, Abdelaziz Ouamri
:
A new spatial sparsity-based method for extracting endmember spectra from hyperspectral data with some pure pixels. IGARSS 2012: 3074-3077 - 2011
- [j23]Yannick Deville, Shahram Hosseini, Alain Deville:
Effect of indirect dependencies on maximum likelihood and information theoretic blind source separation for nonlinear mixtures. Signal Process. 91(4): 793-800 (2011) - [c44]Ines Meganem, Yannick Deville, Shahram Hosseini, Philippe Déliot, Xavier Briottet, Leonardo Tomazeli Duarte:
Linear-quadratic and polynomial Non-Negative Matrix Factorization; application to spectral unmixing. EUSIPCO 2011: 1859-1863 - [c43]Yannick Deville, Alain Deville:
A blind quantum source separation method based on mutual information for retrieving two qubits with cylindrical-symmetry heisenberg coupling. ISPA 2011: 534-539 - [c42]Ines Meganem, Philippe Déliot, Xavier Briottet, Yannick Deville, Shahram Hosseini:
Physical modelling and non-linear unmixing method for urban hyperspectral images. WHISPERS 2011: 1-4 - [c41]Ines Meganem, Yannick Deville, Shahram Hosseini, Hervé Carfantan, Moussa Sofiane Karoui
:
Extraction of stellar spectra from dense fields in hyperspectral muse data cubes using non-negative matrix factorization. WHISPERS 2011: 1-4 - 2010
- [c40]Hicham Saylani, Shahram Hosseini, Yannick Deville:
Noisy cyclo-stationary BSS using frequency-domain pseudo-correlation. EUSIPCO 2010: 895-899 - [c39]Chahinez Chaouchi, Yannick Deville, Shahram Hosseini:
Cumulant-based estimation of quadratic mixture parameters for blind source separation. EUSIPCO 2010: 1826-1830 - [c38]Hicham Saylani, Shahram Hosseini, Yannick Deville:
Blind Separation of Convolutive Mixtures of Non-stationary Sources Using Joint Block Diagonalization in the Frequency Domain. LVA/ICA 2010: 97-105 - [c37]Yannick Deville:
ICA Separability of Nonlinear Models with References: General Properties and Application to Heisenberg-Coupled Quantum States (Qubits). LVA/ICA 2010: 173-180 - [c36]Yannick Deville, Shahram Hosseini:
Blind Operation of a Recurrent Neural Network for Linear-Quadratic Source Separation: Fixed Points, Stabilization and Adaptation Scheme. LVA/ICA 2010: 237-244 - [c35]Leonardo Tomazeli Duarte
, Ricardo Suyama
, Romis Ribeiro Faissol Attux, Yannick Deville, João Marcos Travassos Romano, Christian Jutten:
Blind Source Separation of Overdetermined Linear-Quadratic Mixtures. LVA/ICA 2010: 263-270 - [c34]Ines Meganem, Yannick Deville, Matthieu Puigt
:
Blind Separation methods based on correlation for sparse possibly-correlated images. ICASSP 2010: 1334-1337
2000 – 2009
- 2009
- [j22]Yannick Deville, Shahram Hosseini:
Recurrent networks for separating extractable-target nonlinear mixtures. Part I: Non-blind configurations. Signal Process. 89(4): 378-393 (2009) - [j21]Shahram Hosseini, Yannick Deville, Hicham Saylani:
Blind separation of linear instantaneous mixtures of non-stationary signals in the frequency domain. Signal Process. 89(5): 819-830 (2009) - [j20]Zbynek Koldovský
, Jirí Málek, Petr Tichavský, Yannick Deville, Shahram Hosseini:
Blind separation of piecewise stationary non-Gaussian sources. Signal Process. 89(12): 2570-2584 (2009) - [j19]Rima Guidara, Shahram Hosseini, Yannick Deville:
Blind Separation of Nonstationary Markovian Sources Using an Equivariant Newton-Raphson Algorithm. IEEE Signal Process. Lett. 16(5): 426-429 (2009) - [j18]Rima Guidara, Shahram Hosseini, Yannick Deville:
Maximum Likelihood Blind Image Separation Using Nonsymmetrical Half-Plane Markov Random Fields. IEEE Trans. Image Process. 18(11): 2435-2450 (2009) - [c33]Matthieu Puigt
, Yannick Deville:
Iterative-Shift Cluster-Based Time-Frequency BSS for Fractional-Time-Delay Mixtures. ICA 2009: 306-313 - [c32]Hicham Saylani, Shahram Hosseini, Yannick Deville:
Blind Separation of Noisy Mixtures of Non-stationary Sources Using Spectral Decorrelation. ICA 2009: 322-329 - [c31]Matthieu Puigt
, Emmanuel Vincent, Yannick Deville:
Validity of the Independence Assumption for the Separation of Instantaneous and Convolutive Mixtures of Speech and Music Sources. ICA 2009: 613-620 - [c30]Olivier Berné, Christine Joblin, A. Tielens, Yannick Deville, Matthieu Puigt
, Rima Guidara, Shahram Hosseini, Giacomo Mulas
, J. Cami:
Source separation algorithms for the analysis of hyper-spectral observations of very small interstellar dust particles. WHISPERS 2009: 1-4 - [c29]Moussa Sofiane Karoui
, Yannick Deville, Shahram Hosseini, Abdelaziz Ouamri
, D. Ducrot:
Improvement of remote sensing multispectral image classification by using Independent Component Analysis. WHISPERS 2009: 1-4 - 2008
- [j17]Frédéric Abrard, Yannick Deville, Johan Thomas:
Blind partial separation of underdetermined convolutive mixtures of complex sources based on differential normalized kurtosis. Neurocomputing 71(10-12): 2071-2086 (2008) - [j16]Johan Thomas, Yannick Deville, Shahram Hosseini:
Fast Blind Separation of Long Mixture Recordings Using Multivariate Polynomial Identification. IEEE Trans. Signal Process. 56(11): 5704-5709 (2008) - [c28]Zbynek Koldovský
, Jirí Málek, Petr Tichavský, Yannick Deville, Shahram Hosseini:
Extension of EFICA algorithm for blind separation of piecewise stationary non Gaussian sources. ICASSP 2008: 1913-1916 - [c27]Yannick Deville, Alain Deville:
Maximum likelihood blind separation of two quantum states (qubits) with cylindrical-symmetry Heisenberg spin coupling. ICASSP 2008: 3497-3500 - 2007
- [j15]Yannick Deville, Matthieu Puigt
:
Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures. Signal Process. 87(3): 374-407 (2007) - [j14]Johan Thomas, Yannick Deville, Shahram Hosseini:
Differential Fast Fixed-Point Algorithms for Underdetermined Instantaneous and Convolutive Partial Blind Source Separation. IEEE Trans. Signal Process. 55(7-2): 3717-3729 (2007) - [c26]Rima Guidara, Shahram Hosseini, Yannick Deville:
Markovian blind separation of non-stationary temporally correlated sources. ESANN 2007: 241-246 - [c25]Yannick Deville, Shahram Hosseini:
Stable Higher-Order Recurrent Neural Network Structures for Nonlinear Blind Source Separation. ICA 2007: 161-168 - [c24]Olivier Berné, Yannick Deville, Christine Joblin:
Blind Signal Separation Methods for the Identification of Interstellar Carbonaceous Nanoparticles. ICA 2007: 681-688 - [c23]Yannick Deville, Alain Deville:
Blind Separation of Quantum States: Estimating Two Qubits from an Isotropic Heisenberg Spin Coupling Model. ICA 2007: 706-713 - [c22]Rima Guidara, Shahram Hosseini, Yannick Deville:
Blind Separation of Non-stationary Images Using Markov Models. ICA 2007: 722-729 - [c21]Yannick Deville, Shahram Hosseini:
Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals. ISSPA 2007: 1-4 - 2006
- [j13]Johan Thomas, Yannick Deville, Shahram Hosseini:
Time-domain fast fixed-point algorithms for convolutive ICA. IEEE Signal Process. Lett. 13(4): 228-231 (2006) - [c20]Yannick Deville, Dass Bissessur, Matthieu Puigt, Shahram Hosseini, Hervé Carfantan:
A time-scale correlation-based blind separation method applicable to correlated sources. ESANN 2006: 337-344 - [c19]Yannick Deville, Johanna Chappuis, Shahram Hosseini, Johan Thomas:
Differential Fast Fixed-Point BSS for Underdetermined Linear Instantaneous Mixtures. ICA 2006: 48-56 - [c18]Shahram Hosseini, Rima Guidara, Yannick Deville, Christian Jutten:
Markovian Blind Image Separation. ICA 2006: 106-114 - [c17]Matthieu Puigt
, Yannick Deville:
Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures. ICA 2006: 682-690 - [c16]Matthieu Puigt, Yannick Deville:
A Time-Frequency CORRelation-Based Blind Source Separation Method for Time-Delayed Mixtures. ICASSP (5) 2006: 853-856 - 2005
- [j12]Frédéric Abrard, Yannick Deville:
A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources. Signal Process. 85(7): 1389-1403 (2005) - 2004
- [j11]Yannick Deville, Mohammed Benali, Frédéric Abrard:
Differential source separation for underdetermined instantaneous or convolutive mixtures: concept and algorithms. Signal Process. 84(10): 1759-1776 (2004) - [c15]Shahram Hosseini, Yannick Deville:
Blind Separation of Nonstationary Sources by Spectral Decorrelation. ICA 2004: 279-286 - [c14]Shahram Hosseini, Yannick Deville:
Blind Maximum Likelihood Separation of a Linear-Quadratic Mixture. ICA 2004: 694-701 - 2003
- [c13]Frédéric Abrard, Yannick Deville:
Blind separation of dependent sources using the "time-frequency ratio of mixtures" approach. ISSPA (2) 2003: 81-84 - [c12]Shahram Hosseini, Yannick Deville:
Blind Separation of Linear-Quadratic Mixtures of Real Sources Using a Recurrent Structure. IWANN (2) 2003: 241-248 - [c11]Benoit Albouy, Yannick Deville:
A Time-Frequency Blind Source Separation Method Based on Segmented Coherence Function. IWANN (2) 2003: 289-296 - 2002
- [j10]Yannick Deville, Jacques Damour, Nabil Charkani:
Multi-tag radio-frequency identification systems based on new blind source separation neural networks. Neurocomputing 49(1-4): 369-388 (2002) - [c10]Yannick Deville:
Analysis and control of the stability of a differential separation method for underdetermined convolutive mixtures. EUSIPCO 2002: 1-4 - 2001
- [j9]F. Vermaut, Yannick Deville, Xavier Marichal, Benoît Macq:
A distributed adaptive block matching algorithm: Dis-ABMA. Signal Process. Image Commun. 16(5): 431-444 (2001) - [c9]Yannick Deville, Stephane P. Savoldelli:
A second-order differential approach for underdetermined convolutive source separation. ICASSP 2001: 2741-2744 - [c8]Frédéric Abrard, Yannick Deville:
Blind Source Separation in Convolutive Mixtures: A Hybrid Approach for Colored Sources. IWANN (2) 2001: 802-809 - 2000
- [c7]Frédéric Abrard, Yannick Deville, Mohammed Benali:
Numerical and analytical solutions to the differential source separation problem. EUSIPCO 2000: 1-4 - [c6]Yannick Deville, Mohammed Benali:
A criterion for deriving the sub/super gaussianity of source signals from their mixtures. EUSIPCO 2000: 1-4 - [c5]Yannick Deville, Mohammed Benali:
Differential source separation: Concept and application to a criterion based on differential normalized kurtosis. EUSIPCO 2000: 1-4
1990 – 1999
- 1999
- [j8]Nabil Charkani, Yannick Deville:
Self-adaptive separation of convolutively mixed signals with a recursive structure. Part I: Stability analysis and optimization of asymptotic behaviour. Signal Process. 73(3): 225-254 (1999) - [j7]Nabil Charkani, Yannick Deville:
Self-adaptive separation of convolutively mixed signals with a recursive structure. Part II: Theoretical extensions and application to synthetic and real signals. Signal Process. 75(2): 117-140 (1999) - [j6]Yannick Deville:
Analysis of the convergence properties of self-normalized source separation neural networks. IEEE Trans. Signal Process. 47(5) (1999) - [c4]Nabil Charkani, Yannick Deville:
A convolutive source separation method with self-optimizing non-linearities. ICASSP 1999: 2909-2912 - 1998
- [c3]F. Vermaut, Yannick Deville, Benoît Macq, Xavier Marichal:
A distributed adaptive block matching algorithm: DIS-ABMA. EUSIPCO 1998: 1-4 - 1997
- [c2]Nabil Charkani, Yannick Deville:
Optimization of the asymptotic performance of time-domain convolutive source separation algorithms. ESANN 1997 - [c1]Yannick Deville, Nabil Charkani:
Analysis of the stability of time-domain source separation algorithms for convolutively mixed signals. ICASSP 1997: 1835-1838 - 1996
- [j5]Yannick Deville:
A unified stability analysis of the Hérault-Jutten source separation neural network. Signal Process. 51(3): 229-233 (1996) - 1993
- [j4]Yannick Deville:
Digital Neural Networks For High-Speed Divisions And Root Extractions. Int. J. Neural Syst. 4(1): 81-94 (1993) - [j3]Yannick Deville:
A process-dependent partitioning strategy for cache memories. SIGARCH Comput. Archit. News 21(1): 26-33 (1993) - 1992
- [j2]Yannick Deville, Jean Gobert:
A class of replacement policies for medium and high-associativity structures. SIGARCH Comput. Archit. News 20(1): 55-64 (1992) - 1990
- [j1]Yannick Deville:
A low-cost usage-based replacement algorithm for cache memories. SIGARCH Comput. Archit. News 18(4): 52-58 (1990)
Coauthor Index
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