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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)- [c110]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 - [c109]Moussa Sofiane Karoui, Alp Ertürk, Fatima Zohra Benhalouche, Yannick Deville, Çagatay Esi:
Informed NMF-Based Unmixing Method Addressing Spectral Variability for Marine Mucilage Mapping using Hyperspectral Prisma Data. IGARSS 2024: 7706-7709 - [c108]Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Yannick Deville:
A New ADMM-Based Hyperspectral Unmixing Algorithm Associated with a Linear Mixing Model Addressing Spectral Variability with a Multiplicative Structure. IGARSS 2024: 7710-7713 - [c107]Çagatay Esi, Alp Ertürk, Fatima Zohra Benhalouche, Moussa Sofiane Karoui, Yannick Deville:
Nonlinear Unmixing Based Marine Mucilage Monitoring. IGARSS 2024: 7720-7723 - 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
[c110] [j52] [c103] [c102] [c99] [j43] [j40] [c92] [c90] [j35] [c87] [c80] [c76] [c73] [c70] [c67] [c66] [c64] [j30] [j29] [j28] [c58] [c57] [j27] [c54] [c52] [j26] [c47] [c46] [c45] [j23] [c44] [c42] [c41] [c40] [c39] [c38] [c36] [j22] [j21] [j20] [j19] [j18] [c32] [c30] [c29] [j16] [c28] [j14] [c26] [c25] [c22] [c21] [j13] [c20] [c19] [c18] [c15] [c14] [c12]
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