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Digital signal processing, ISSN 1051-2004, 2019, Volume 87, pp. 21 - 33
Blind source separation (BSS) and Blind Mixture Identification (BMI) methods typically concern unknown source signals, transferred through a given class of... 
Separability and identifiability | Nonlinear blind source separation | Bilinear and linear-quadratic mixtures | Matrix factorization | Uniqueness of decomposition | Blind nonlinear mixture identification | BLIND SOURCE SEPARATION | SPARSE | COMPONENT ANALYSIS | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, 01/2014, Volume 52, Issue 1, pp. 544 - 558
Journal Article
Quantum information processing, ISSN 1573-1332, 2019, Volume 18, Issue 10, pp. 1 - 16
... for unentanglement Alain Deville 1 · Yannick Deville 2 Received: 24 February 2019 / Accepted: 21 August 2019 / Published online: 28 August 2019 © Springer Science+Business Media... 
Quantum Computing | Pure state | Mathematical Physics | N -qubit system | Quantum Information Technology, Spintronics | Quantum Physics | Entanglement | Physics | Unentanglement condition | Data Structures and Information Theory | QUANTUM SCIENCE & TECHNOLOGY | N-qubit system | PHYSICS, MULTIDISCIPLINARY | PHYSICS, MATHEMATICAL | Physics - Quantum Physics
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 10891, pp. 204 - 214
Conference Proceeding
Digital signal processing, ISSN 1051-2004, 2017, Volume 67, pp. 30 - 51
Blind Quantum Source Separation (BQSS) deals with multi-qubit states, called “mixed states”, obtained by applying an unknown “mixing function” (which typically... 
Separation and restoration of quantum states | Disentanglement | Entanglement | Blind or unsupervised quantum processing | Cylindrical-symmetry Heisenberg coupling | Control of quantum adaptive system | STATES | ENGINEERING, ELECTRICAL & ELECTRONIC | Atoms | Engineering Sciences | Micro and nanotechnologies | Microelectronics
Journal Article
Remote sensing of environment, ISSN 0034-4257, 2017, Volume 200, pp. 352 - 367
Hyperspectral remote sensing is now an established tool to determine shallow water properties over large areas, usually by inverting a semi-analytical model of... 
Maximum likelihood estimation | Shallow water hyperspectral remote sensing | Spectral covariance | Radiative transfer model inversion | Bottom intra-class variability | Environmental noise | Environmental aspects | Models | Noise pollution | Analysis | Remote sensing | Atmospheric and Oceanic Physics | Physics
Journal Article
Signal Processing, ISSN 0165-1684, 04/2013, Volume 93, Issue 4, pp. 671 - 683
While most reported blind source separation methods concern linear mixtures, we here address the nonlinear case. In the first part of this paper, we introduced... 
Blind source separation | Linear-quadratic mixture | Maximum likelihood | Nonlinear mixture | Independent component analysis | MAXIMUM-LIKELIHOOD | MODEL | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Algorithms
Journal Article
Multidimensional Systems and Signal Processing, ISSN 0923-6082, 7/2018, Volume 29, Issue 3, pp. 1153 - 1172
... Lina Jarboui 1,2 · Yannick Deville 1 · Shahram Hosseini 1 · Rima Guidara 2 · Ahmed Ben Hamida 2 · Leonardo T. Duarte 3 Received: 20 September 2016 / Revised: 24... 
Blind Source Separation | Engineering | Signal,Image and Speech Processing | Artificial Intelligence (incl. Robotics) | Bilinear mixing model | Circuits and Systems | Electrical Engineering | Second-order Statistics | COMPUTER SCIENCE, THEORY & METHODS | RECURRENT NETWORKS | MODEL | CONFIGURATIONS | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer Science
Journal Article
Signal processing, ISSN 0165-1684, 2019, Volume 155, Issue February, pp. 63 - 72
•Derivation of the conditions and the constraints on the Post-Nonlinear (PNL) model for Second-Order Statistics (SOS)-based separation.•Proposition of an... 
Post-nonlinear | Blind source separation | Second-order statistics | ALGORITHMS | ENGINEERING, ELECTRICAL & ELECTRONIC | Signal and Image Processing | Computer Science
Journal Article
Quantum information processing, ISSN 1573-1332, 2011, Volume 11, Issue 6, pp. 1311 - 1347
Journal Article
Optics Express, ISSN 1094-4087, 01/2018, Volume 26, Issue 2, pp. A1 - A18
We present an analytical approach based on Cramer-Rao Bounds (CRBs) to investigate the uncertainties in estimated ocean color parameters resulting from the... 
BATHYMETRY | QUALITY | SHALLOW WATERS | ALGORITHM | TROPICAL CORAL-REEF | OPTIMIZATION | INHERENT OPTICAL-PROPERTIES | MODEL | OPTICS | ENVIRONMENTAL NOISE | RETRIEVAL | Sciences of the Universe | Ocean, Atmosphere | Atmospheric and Oceanic Physics | Physics
Journal Article
Signal Processing, ISSN 0165-1684, 2009, Volume 89, Issue 4, pp. 378 - 393
While most reported source separation methods concern linear mixtures, we here address the nonlinear case. Even for a known nonlinear mixing model, creating a... 
Source separation | Stability | Nonlinear mixture | Nonlinear recurrent neural network | Inverse problem | ADAPTIVE SOURCE SEPARATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Networks | Inversions | Signal processing | Nonlinearity | Inverse | Mathematical models | Asynchronous transfer mode | Engineering Sciences | Signal and Image Processing | Computer Science
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2018, Volume 10891, pp. 183 - 192
Conference Proceeding
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