A model-based sound localization system and its application to robot navigation, Robotics and Autonomous Systems, vol.27, issue.4, pp.199-209, 1999. ,
DOI : 10.1016/S0921-8890(99)00002-0
Problems in synthetic-aperture radar imaging, Inverse Problems, vol.25, issue.12, 2009. ,
DOI : 10.1088/0266-5611/25/12/123005
Linear inverse problems in imaging, IEEE Signal Processing Magazine, vol.25, issue.4, pp.84-99, 2008. ,
DOI : 10.1109/MSP.2008.923099
Ocean acoustic tomography, 2009. ,
Diagnostic ultrasound imaging: inside out, 2004. ,
A mathematical introduction to compressive sensing, 2013. ,
DOI : 10.1007/978-0-8176-4948-7
An introduction to the mathematical theory of inverse problems, 2011. ,
Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, vol.41, issue.12, pp.3397-3415, 1993. ,
DOI : 10.1109/78.258082
The cosparse analysis model and algorithms, Applied and Computational Harmonic Analysis, vol.34, issue.1, pp.30-56, 2013. ,
DOI : 10.1016/j.acha.2012.03.006
URL : https://hal.archives-ouvertes.fr/inria-00602205
Analysis versus synthesis in signal priors, Inverse Problems, vol.23, issue.3, p.947, 2007. ,
DOI : 10.1088/0266-5611/23/3/007
Signal restoration with overcomplete wavelet transforms: comparison of analysis and synthesis priors, Wavelets XIII, 2009. ,
DOI : 10.1117/12.826663
Brain Source Localization Using a Fourth-Order Deflation Scheme, IEEE Transactions on Biomedical Engineering, vol.55, issue.2, pp.490-501, 2008. ,
DOI : 10.1109/TBME.2007.905408
URL : https://hal.archives-ouvertes.fr/inserm-00255994
Compressed Remote Sensing of Sparse Objects, SIAM Journal on Imaging Sciences, vol.3, issue.3, pp.595-618, 2010. ,
DOI : 10.1137/090757034
Structured Sparsity Models for Multiparty Speech Recovery from Reverberant Recordings, p.2012 ,
DOI : 10.1109/taslp.2013.2297012
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.645.4836
Source localization in reverberant rooms using sparse modeling and narrowband measurements, 2013. ,
Room helps: Acoustic localization with finite elements, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.2617-2620 ,
DOI : 10.1109/ICASSP.2012.6288453
Physics-driven structured cosparse modeling for source localization, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.5397-5400 ,
DOI : 10.1109/ICASSP.2012.6289141
URL : https://hal.archives-ouvertes.fr/hal-00659405
Source localization and signal reconstruction in a reverberant field using the fdtd method, 22th EURASIP EUSIPCO, 2014. ,
Hearing behind walls: localizing sources in the room next door with cosparsity, 38th IEEE ICASSP, 2013. ,
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Machine Learning, pp.1-122, 2011. ,
DOI : 10.1561/2200000016
Source localization and beamforming, IEEE Signal Processing Magazine, vol.19, issue.2, pp.30-39, 2002. ,
DOI : 10.1109/79.985676
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.4349
Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks, IEEE Transactions on Signal Processing, vol.53, issue.1, pp.44-53, 2005. ,
DOI : 10.1109/TSP.2004.838930
A review of cosparse signal recovery methods applied to sound source localization, 24th GRETSI, 2013. ,
Brain source localization using a physics-driven structured cosparse representation of EEG signals, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp.1-6, 2014. ,
DOI : 10.1109/MLSP.2014.6958871
URL : https://hal.archives-ouvertes.fr/hal-01027609
Partial differential equations (graduate studies in mathematics, p.67, 2009. ,
Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1998. ,
DOI : 10.1137/S1064827596304010
Data assimilation: the ensemble Kalman filter, 2009. ,
DOI : 10.1007/978-3-642-03711-5
Speech and audio processing in adverse environments, 2008. ,
Real-time sound source localization and separation system and its application to automatic speech recognition, INTERSPEECH, pp.1013-1016, 2001. ,
Acoustic Source Localization in Aircraft Interiors Using Microphone Array Technologies, 12th AIAA/CEAS Aeroacoustics Conference (27th AIAA Aeroacoustics Conference), 2006. ,
DOI : 10.2514/6.2006-2714
Direct computation of sound and microphone locations from time-difference-of-arrival data, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2445-2448, 2008. ,
DOI : 10.1109/ICASSP.2008.4518142
Formulation of Locally Reacting Surfaces in FDTD/K-DWM Modelling of Acoustic Spaces, Acta Acustica united with Acustica, vol.94, issue.6, pp.891-906, 2008. ,
DOI : 10.3813/AAA.918107
Finite difference methods for ordinary and partial differential equations: steady-state and time-dependent problems, 2007. ,
DOI : 10.1137/1.9780898717839
Reducedrank neural activity index for eeg/meg multi-source localization, 39th IEEE ICASSP, 2014. ,
Visualization of Magnetoencephalographic Data Using Minimum Current Estimates, NeuroImage, vol.10, issue.2, pp.173-180, 1999. ,
DOI : 10.1006/nimg.1999.0454
Comparing iterative solvers for linear systems associated with the finite difference discretisation of the forward problem in electro-encephalographic source analysis, Medical & Biological Engineering & Computing, vol.28, issue.1, pp.75-84, 2003. ,
DOI : 10.1007/BF02343542
The Effect of Media Inhomogeneities Upon Intracranial Electrical Fields, IEEE Transactions on Biomedical Engineering, vol.19, issue.5, pp.352-362, 1972. ,
DOI : 10.1109/TBME.1972.324138
A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2011. ,
DOI : 10.1007/s10851-010-0251-1
URL : https://hal.archives-ouvertes.fr/hal-00490826
Primal-dual splitting algorithm for solving inclusions with mixtures of composite, lipschitzian, and parallelsum type monotone operators Set-Valued and variational analysis, pp.307-330, 2012. ,
A Primal???Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms, Journal of Optimization Theory and Applications, vol.23, issue.1???2, pp.460-479, 2013. ,
DOI : 10.1007/s10957-012-0245-9
URL : https://hal.archives-ouvertes.fr/hal-00609728
Proximal splitting methods in signal processing, " in Fixed-point algorithms for inverse problems in science and engineering, Björck, Numerical Methods in Matrix Computations, vol.59, pp.185-212, 2011. ,
Algorithm 887, ACM Transactions on Mathematical Software, vol.35, issue.3, p.22, 2008. ,
DOI : 10.1145/1391989.1391995
Direct methods for sparse linear systems, 2006. ,
DOI : 10.1137/1.9780898718881
On the Douglas???Rachford splitting method and the proximal point algorithm for maximal monotone operators, Mathematical Programming, pp.293-318, 1992. ,
DOI : 10.1007/BF01581204
LSMR: An Iterative Algorithm for Sparse Least-Squares Problems, SIAM Journal on Scientific Computing, vol.33, issue.5, pp.2950-2971, 2011. ,
DOI : 10.1137/10079687X
Time-reversal acoustics in complex environments, GEOPHYSICS, vol.71, issue.4, pp.151-164, 2006. ,
DOI : 10.1190/1.2215356
Computing the Minimum Fill-In is NP-Complete, SIAM Journal on Algebraic Discrete Methods, vol.2, issue.1, pp.77-79, 1981. ,
DOI : 10.1137/0602010
Introduction to Digital Filters with Audio Applications, 2007. ,
Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns, Biological Cybernetics, vol.580, issue.4, pp.357-366, 1995. ,
DOI : 10.1007/BF00199471
The Hungarian method for the assignment problem, Naval Research Logistics Quarterly, vol.3, issue.1-2, pp.83-97, 1955. ,
DOI : 10.1002/nav.3800020109
SVM optimization, Proceedings of the 25th international conference on Machine learning, ICML '08, pp.928-935, 2008. ,
DOI : 10.1145/1390156.1390273
Statistical and computational inverse problems, 2005. ,
Iterative methods for sparse linear systems, SIAM, 2003. ,
DOI : 10.1137/1.9780898718003
Time?data tradeoffs by aggressive smoothing, NIPS Proceedings, pp.1664-1672, 2014. ,
Sparse acoustic source localization with blind calibration for unknown medium characteristics, ITWIST, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01060320
Finite difference schemes and partial differential equations , SIAM, 2004. ,
Structured variable selection with sparsity-inducing norms, The Journal of Machine Learning Research, vol.12, pp.2777-2824, 2011. ,
URL : https://hal.archives-ouvertes.fr/inria-00377732