Underdetermined Blind Separation of Nondisjoint Sources in the Time-Frequency Domain, IEEE Transactions on Signal Processing, vol.55, issue.3, pp.897-907, 2007. ,
DOI : 10.1109/TSP.2006.888877
Wavelet shrinkage : from sparsity and robust testing to smooth adaptation, chapter Fractals and Related Fields, 2010. ,
A theoretical result for processing signals that have unknown distributions and priors in white Gaussian noise, Computational Statistics & Data Analysis, vol.52, issue.6, pp.3167-3186, 2008. ,
DOI : 10.1016/j.csda.2007.10.011
Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol.81, issue.3, pp.425-455, 1994. ,
DOI : 10.1093/biomet/81.3.425
Compressed sensing, IEEE Transactions on Information Theory, vol.52, issue.4, pp.1289-1306, 2006. ,
DOI : 10.1109/TIT.2006.871582
URL : https://hal.archives-ouvertes.fr/inria-00369486
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory, vol.52, issue.2, pp.489-509, 2006. ,
DOI : 10.1109/TIT.2005.862083
Underdetermined Blind Audio Source Separation Using Modal Decomposition, EURASIP Journal on Audio, Speech, and Music Processing, vol.73, issue.12, pp.1-15, 2007. ,
DOI : 10.1016/0165-1684(96)00010-2
Estimation robuste et apprentissage aveugle de modèles pour la séparation de sources sonores, 2008. ,
A blind interference canceller in DS-CDMA, 2000 IEEE Sixth International Symposium on Spread Spectrum Techniques and Applications. ISSTA 2000. Proceedings (Cat. No.00TH8536), pp.358-362, 2000. ,
DOI : 10.1109/ISSSTA.2000.876456
A Joint Optimization Criterion for Blind DS-CDMA Detection, EURASIP Journal on Advances in Signal Processing, vol.2007, issue.1, pp.1-11, 2007. ,
DOI : 10.1137/S0895479801387413
S??paration aveugle de??sources en??ing??nierie biom??dicale, IRBM, vol.28, issue.1, pp.20-34, 2007. ,
DOI : 10.1016/j.rbmret.2007.02.004
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1028.134
Unsupervised adaptive separation of impulse signals applied to EEG analysis, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), pp.420-423, 2000. ,
DOI : 10.1109/ICASSP.2000.861997
Multichannel system identification methods for sensor array calibration in uncertain multipath environments, IEEE Signal Processing Workshop on Statistical Signal Processing (SSP), pp.297-300, 2001. ,
Contribution of statistical tests to sparseness-based blind source separation, EURASIP Journal on Advances in Signal Processing, vol.2012, issue.1, 2012. ,
DOI : 10.1002/cpa.20124
Robust underdetermined blind audio source separation of sparse signals in the time-frequency domain, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3716-3719, 2011. ,
DOI : 10.1109/ICASSP.2011.5947158
Probability of unique integer solution to a system of linear equations, European Journal of Operational Research, vol.214, issue.1, pp.27-30, 2011. ,
DOI : 10.1016/j.ejor.2011.04.010
Underdetermined source separation of finite alphabet signals via l1 minimization, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), pp.625-628 ,
DOI : 10.1109/ISSPA.2012.6310624
Recovery of finite alphabet signals from incomplete measurements Lab-sticc -Laboratoire en sciences et technologies de l'information , de la communication et de la connaissance, SPARS, 2011. ,
Recovery of Finite Alphabet Solutions of Underdetermined Linear System, 2012. ,
Le statut de la parcimonie, Biosystema, vol.22, pp.7-14, 2004. ,
Linear Inversion of Band-Limited Reflection Seismograms, SIAM Journal on Scientific and Statistical Computing, vol.7, issue.4, pp.1307-1330, 1986. ,
DOI : 10.1137/0907087
Ideal spatial adaptation by wavelet shrinkage, Biometrika, vol.81, issue.3, pp.425-455, 1994. ,
DOI : 10.1093/biomet/81.3.425
Analyse en ondelettes et par paquets d'ondelettes de processus aléatoires stationnaires, et application à l'estimation non-paramètrique, 2008. ,
Measuring sparseness of noisy signals, In 4TH INT. SYMP. ON INDEPENDENT COMPONENT ANALYSIS AND BLIND SIGNAL SEPARATION, pp.125-130, 2003. ,
Gini Index as Sparsity Measure for Signal Reconstruction from Compressive Samples, IEEE Journal of Selected Topics in Signal Processing, vol.5, issue.5, pp.927-932, 2011. ,
DOI : 10.1109/JSTSP.2011.2160711
Entropy-based algorithms for best basis selection, IEEE Transactions on Information Theory, vol.38, issue.2, pp.713-718, 1992. ,
DOI : 10.1109/18.119732
A generalized inverse for matrices, Mathematical Proceedings of the Cambridge Philosophical Society, vol.11, issue.03, pp.406-413, 1954. ,
DOI : 10.1093/qmath/2.1.189
Sparse representations for limited data tomography, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.1375-1378, 2008. ,
DOI : 10.1109/ISBI.2008.4541261
Sparse representation for signal classification, In In Adv. NIPS, 2006. ,
Sparse Approximate Solutions to Linear Systems, SIAM Journal on Computing, vol.24, issue.2, pp.227-234, 1995. ,
DOI : 10.1137/S0097539792240406
Atomic Decomposition by Basis Pursuit, SIAM Journal on Scientific Computing, vol.20, issue.1, pp.33-61, 1999. ,
DOI : 10.1137/S1064827596304010
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7694
Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm, Electroencephalography and Clinical Neurophysiology, vol.95, issue.4, pp.231-251, 1995. ,
DOI : 10.1016/0013-4694(95)00107-A
Sparse signal reconstruction from limited data using FOCUSS: a re-weighted minimum norm algorithm, IEEE Transactions on Signal Processing, vol.45, issue.3, pp.600-395, 1997. ,
DOI : 10.1109/78.558475
Enhancing Sparsity by Reweighted ??? 1 Minimization, Journal of Fourier Analysis and Applications, vol.7, issue.3, pp.877-905, 2008. ,
DOI : 10.1007/s00041-008-9045-x
Reweighted $\ell_1$-Minimization for Sparse Solutions to Underdetermined Linear Systems, SIAM Journal on Optimization, vol.22, issue.3, 2012. ,
DOI : 10.1137/110847445
Exact Reconstruction of Sparse Signals via Nonconvex Minimization, IEEE Signal Processing Letters, vol.14, issue.10, pp.707-710, 2007. ,
DOI : 10.1109/LSP.2007.898300
An unconstrained q minimization with 0 < q ? 1 for sparse solution of under-determined linear systems, 2009. ,
A new polynomial-time algorithm for linear programming, Combinatorica, vol.244, issue.S, pp.373-395, 1984. ,
DOI : 10.1007/BF02579150
Cvx : Matlab software for disciplined convex programming (web page and software), 2008. ,
The Dantzig selector: Statistical estimation when p is much larger than n, The Annals of Statistics, vol.35, issue.6, pp.2313-2351, 2007. ,
DOI : 10.1214/009053606000001523
Iterative hard thresholding for compressed sensing, Applied and Computational Harmonic Analysis, vol.27, issue.3, pp.265-274, 2009. ,
DOI : 10.1016/j.acha.2009.04.002
URL : http://doi.org/10.1016/j.acha.2009.04.002
Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, pp.40-44, 1993. ,
DOI : 10.1109/ACSSC.1993.342465
Subspace Pursuit for Compressive Sensing Signal Reconstruction, IEEE Transactions on Information Theory, vol.55, issue.5, pp.2230-2249, 2009. ,
DOI : 10.1109/TIT.2009.2016006
Algorithms for simultaneous sparse approximation. Part I: Greedy pursuit, Signal Proc. ? Sparse approximations in signal and image processing, pp.572-588, 2006. ,
DOI : 10.1016/j.sigpro.2005.05.030
Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, vol.41, issue.12, pp.3397-3415, 1993. ,
DOI : 10.1109/78.258082
Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit, IEEE Transactions on Information Theory, vol.58, issue.2, pp.1094-1121, 2012. ,
DOI : 10.1109/TIT.2011.2173241
CoSaMP, Communications of the ACM, vol.53, issue.12, pp.301-321, 2009. ,
DOI : 10.1145/1859204.1859229
Unconditional Bases Are Optimal Bases for Data Compression and for Statistical Estimation, Applied and Computational Harmonic Analysis, vol.1, issue.1, pp.100-115, 1993. ,
DOI : 10.1006/acha.1993.1008
Speech enhancement using a minimum mean-square error log-spectral amplitude estimator, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.33, issue.2, pp.33443-445, 1985. ,
DOI : 10.1109/TASSP.1985.1164550
Estimation of the Mean of a Multivariate Normal Distribution, The Annals of Statistics, vol.9, issue.6, pp.1135-1151, 1981. ,
DOI : 10.1214/aos/1176345632
Blind identification and separation methods for Linear-Quadratic mixtures and/or linearly independent non-stationary signals, 2007 9th International Symposium on Signal Processing and Its Applications, 2007. ,
DOI : 10.1109/ISSPA.2007.4555477
URL : https://hal.archives-ouvertes.fr/hal-00289312
Source separation in post-nonlinear mixtures, IEEE Transactions on Signal Processing, vol.47, issue.10, pp.2807-2820, 1999. ,
DOI : 10.1109/78.790661
Three easy ways for separating nonlinear mixtures ? Signal Processing, pp.217-229, 2004. ,
Blind separation and extraction of binary sources, IEICE Transactions on Fundamentals, issue.3, pp.580-589, 2003. ,
Blind source separation of discrete finite alphabet sources using a single mixture, 2011 IEEE Statistical Signal Processing Workshop (SSP), pp.713-716, 2011. ,
DOI : 10.1109/SSP.2011.5967801
URL : https://hal.archives-ouvertes.fr/hal-00605698
Overcomplete blind source separation of finite alphabet sources, IEICE Trans. on INF. et SYST, issue.1, pp.84-209, 2001. ,
A blind source separation technique using second order statistics, IEEE Transactions on Signal Processing, vol.45, issue.2, pp.434-444, 1997. ,
A neural net for blind separation of nonstationary signals, Neural Networks, vol.8, issue.3, pp.411-419, 1995. ,
DOI : 10.1016/0893-6080(94)00083-X
Blind source separation based on time-frequency signal representations, IEEE Transactions on Signal Processing, vol.46, issue.11, pp.2888-2897, 1998. ,
DOI : 10.1109/78.726803
Blind source-separation using second-order cyclostationary statistics, IEEE Transactions on Signal Processing, vol.49, issue.4, pp.694-701, 2001. ,
DOI : 10.1109/78.912913
URL : http://dro.deakin.edu.au/eserv/DU:30006629/n20071049.pdf
Blind signal separation: statistical principles, Proceedings of the IEEE, vol.86, issue.10, pp.2009-2025, 1998. ,
DOI : 10.1109/5.720250
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.7237
Independent component analysis : a new concept ? Signal Processing, pp.287-314, 1994. ,
Détection de grandeur primitives dans un message composite par une architecture de calcul neuromimétrique en apprentissage non supervisé, Colloque GRETSI sur le traitement du signal et des images, pp.1017-1022, 1985. ,
Calcul neuromimétrique et traitement du signal : analyse en composantes indépendantes, 1987. ,
Blind separation of sources, part i : an adaptative algorithm based on neuromimetic architecture. SignalProcessing, pp.1-10, 1991. ,
Convolutive blind separation of non-stationary sources, IEEE transactions on Speech and Audio Processing, pp.320-327, 2000. ,
DOI : 10.1109/89.841214
Blind separation of mixture of independent sources through a quasi-maximum likelihood approach, IEEE Transactions on Signal Processing, vol.45, issue.7, pp.1712-1725, 1997. ,
DOI : 10.1109/78.599941
URL : https://hal.archives-ouvertes.fr/hal-01485511
Maximum likelihood from incomplete data via the EM algorithm, Journal Of The Royal Statistical Society, Series B, vol.39, issue.1, pp.1-38, 1977. ,
Learning the parts of objects by non-negative matrix factorization, Nature, vol.401, pp.788-791, 1999. ,
Least squares formulation of robust non-negative factor analysis, Chemometrics and Intelligent Laboratory Systems, vol.37, issue.1 ,
DOI : 10.1016/S0169-7439(96)00044-5
Algorithms for non-negative matrix factorization, Advances in Neural and Information Processing Systems (NIPS), pp.556-562 ,
Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis, Neural Computation, vol.14, issue.3, pp.793-830, 2009. ,
DOI : 10.1016/j.sigpro.2007.01.024
Generalized nonnegative matrix approximations with bregman divergences, Advances in Neural Information Processing Systems (NIPS), 2005. ,
Csisz??r???s Divergences for Non-negative Matrix Factorization: Family of New Algorithms, Independent Component Analysis and Blind Signal Separation, 2006. ,
DOI : 10.1007/11679363_5
Projected gradient methods for non-negative matrix factorization, 2005. ,
DOI : 10.1162/neco.2007.19.10.2756
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.308.9135
Fast nonnegative matrix factorization algorithm using projected gradient approach for large scale problems. Computational intelligence and neuroscience, 2008. ,
Analysis of financial data using non-negative matrix factorization, International Mathematical Forum, vol.3, pp.1853-1870, 2008. ,
Clustering scotch whiskies using nonnegative matrix factorization, Joint Newsletter for the Section on Physical and Engineering Sciences and the Quality and Productivity Section of the American Statistical Association, pp.11-13, 2006. ,
Non-negative matrix factorization for polyphonic music transcription, 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (IEEE Cat. No.03TH8684), 2003. ,
DOI : 10.1109/ASPAA.2003.1285860
Non-negative Matrix Factor Deconvolution; Extraction of Multiple Sound Sources from Monophonic Inputs, 5th International Conference on Independent Component Analysis and Blind Signal Separation, 2004. ,
DOI : 10.1007/978-3-540-30110-3_63
Harmonic and inharmonic Nonnegative Matrix Factorization for Polyphonic Pitch transcription, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.109-112, 2008. ,
DOI : 10.1109/ICASSP.2008.4517558
URL : https://hal.archives-ouvertes.fr/inria-00544183
Investigating single-channel audio source separation methods based on non-negative matrix factorization, the ICA Research Network International Workshop, 2006. ,
New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006. ,
DOI : 10.1109/ICASSP.2006.1661352
Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.3, pp.1066-1074, 2007. ,
DOI : 10.1109/TASL.2006.885253
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.1508
Convolutive Speech Bases and Their Application to Supervised Speech Separation, IEEE Transactions on Audio, Speech and Language Processing, vol.15, issue.1, pp.1-12, 2007. ,
DOI : 10.1109/TASL.2006.876726
A musically motivated mid-level representation for pitch estimation and musical audio source separation. Selected Topics in Signal Processing, IEEE Journal, vol.5, issue.6, pp.1180-1191, 2011. ,
Musical audio source separation based on userselected F0 track, Proc. of International Conference on Latent Variable Analysis and Signal Separation, 2012. ,
DOI : 10.1007/978-3-642-28551-6_54
URL : http://infoscience.epfl.ch/record/174056
Algorithm for the separation of harmonic sounds with timefrequency smoothness constraint, Proc. of the 6th Conf. on Digital Audio Effects (DAFx-03), pp.35-40, 2003. ,
Adaptive Harmonic Spectral Decomposition for Multiple Pitch Estimation, Speech and Language Proc. (TASLP), pp.528-537, 2010. ,
DOI : 10.1109/TASL.2009.2034186
URL : https://hal.archives-ouvertes.fr/inria-00544094
Relative-pitch tracking of multiple arbitrary sounds, The Journal of the Acoustical Society of America, vol.125, issue.5, pp.3406-3413, 2009. ,
DOI : 10.1121/1.3106529
Relative pitch estimation of multiple instruments, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing ,
DOI : 10.1109/ICASSP.2009.4959583
A survey of blind component analysis for blind source separation : principles, perspectives and new challenges, Dans Europ. Sympo. on Artificial Neural Networks (ESANN), pp.323-330, 2006. ,
URL : https://hal.archives-ouvertes.fr/inria-00544897
Learning Overcomplete Representations, Neural Computation, vol.33, issue.2, 1998. ,
DOI : 10.1109/18.119725
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.7690
Séparation et déconvolution aveugle de signaux bruités : modélisation par mélange de gaussiennes, GRETSI, pp.1427-1430, 1997. ,
Audio source separation with a single sensor, IEEE Transactions on Audio, Speech and Language Processing, vol.14, issue.1, pp.191-199, 2006. ,
DOI : 10.1109/TSA.2005.854110
URL : https://hal.archives-ouvertes.fr/inria-00544949
Survey of sparse and non-sparse methods in source separation, International Journal of Imaging Systems and Technology, vol.47, issue.33, pp.18-33, 2005. ,
DOI : 10.1002/ima.20035
Blind separation of disjoint orthogonal signals: demixing N sources from 2 mixtures, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), pp.2985-2988, 2000. ,
DOI : 10.1109/ICASSP.2000.861162
A time???frequency blind signal separation method applicable to underdetermined mixtures of dependent sources, Signal Processing, vol.85, issue.7, pp.1389-1403, 2005. ,
DOI : 10.1016/j.sigpro.2005.02.010
Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures, Signal Processing, vol.87, issue.3, pp.374-407, 2007. ,
DOI : 10.1016/j.sigpro.2006.05.012
URL : https://hal.archives-ouvertes.fr/hal-00270884
Underdetermined blind source separation using sparse representations, Signal Processing, vol.81, issue.11, pp.2353-2362, 2001. ,
DOI : 10.1016/S0165-1684(01)00120-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.3694
Blind Separation of Speech Mixtures via Time-Frequency Masking, IEEE Transactions on Signal Processing, vol.52, issue.7, pp.1830-1847, 2004. ,
DOI : 10.1109/TSP.2004.828896
Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT, EURASIP Journal on Advances in Signal Processing, vol.2007, issue.1, pp.1-19, 2007. ,
DOI : 10.1109/78.382406
A Robust Method to Count and Locate Audio Sources in a Multichannel Underdetermined Mixture, IEEE Transactions on Signal Processing, vol.58, issue.1, pp.121-133, 2010. ,
DOI : 10.1109/TSP.2009.2030854
URL : https://hal.archives-ouvertes.fr/inria-00489529
A histogram-based overcomplete ICA algorithm, Actes dans Independent Component Analysis and Blind Source Separation (ICA), pp.1071-1076, 2003. ,
Geometric separation of linear mixtures of sources : application to speech signals, Actes dans Independent Component Analysis and Blind Source Separation (ICA), pp.295-300, 1999. ,
Faithful Representation of Separable Distributions, Neural Computation, vol.1, issue.6, pp.1305-1320, 1997. ,
DOI : 10.1007/BF00320480
Extension of the "time-frequency ratio of mixtures" blind source separation to more than 2 channels, Actes dans International Joint Conference on Neural Networks (ECMS), pp.1-6, 2003. ,
Time-frequency blind signal separation: extended methods, performance evaluation for speech sources, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), pp.255-260, 2004. ,
DOI : 10.1109/IJCNN.2004.1379909
URL : https://hal.archives-ouvertes.fr/hal-01393317
Temporal and time-frequency correlation-based blind source separation methods, Independent Component Analysis and Blind Source Separation (ICA), pp.1059-1064, 2003. ,
URL : https://hal.archives-ouvertes.fr/hal-00270884
A time-frequency blind source separation method based on segmented correlation function, International Work conference on BIBLIOGRAPHIE Artificial and Natural Neural Networks(IWANN), pp.289-296, 2003. ,
Fundamentals of Statistical Signal Processing, Volume II : Detection Theory, 1998. ,
Robust Estimation of Noise Standard Deviation in Presence of Signals With Unknown Distributions and Occurrences, IEEE Transactions on Signal Processing, vol.60, issue.4, 2011. ,
DOI : 10.1109/TSP.2012.2184534
URL : https://hal.archives-ouvertes.fr/hal-00684402
A sharp upper bound for the probability of error of the likelihood ratio test for detecting signals in white Gaussian noise, IEEE Transactions on Information Theory, vol.48, issue.1, pp.228-238, 2002. ,
DOI : 10.1109/18.971751
Detection thresholds for non-parametric estimation. Signal, Image and Video processing, pp.207-223, 2008. ,
The Influence Curve and its Role in Robust Estimation, Journal of the American Statistical Association, vol.15, issue.4, pp.383-393, 1974. ,
DOI : 10.1214/aoms/1177730385
Robust Statistics, second edition, 2009. ,
DOI : 10.1002/0471725250
Robust Statistics Based Noise Variance Estimation: Application to Wideband Interception of Noncooperative Communications, IEEE Transactions on Aerospace and Electronic Systems, vol.47, issue.1, pp.746-755, 2011. ,
DOI : 10.1109/TAES.2011.5705706
URL : https://hal.archives-ouvertes.fr/hal-00632791
Signal norm testing in additive and independant standard Gaussian noise, 2011. ,
URL : https://hal.archives-ouvertes.fr/hal-00704237
Separating More Sources Than Sensors Using Time-Frequency Distributions, EURASIP Journal on Advances in Signal Processing, vol.2005, issue.17, pp.2828-2847, 2005. ,
DOI : 10.1155/ASP.2005.2828
A database for speaker-independent digit recognition, ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp.328-331, 1984. ,
DOI : 10.1109/ICASSP.1984.1172716
Stable signal recovery from incomplete and inaccurate measurements, Communications on Pure and Applied Mathematics, vol.7, issue.8, pp.1207-1223, 2006. ,
DOI : 10.1002/cpa.20124
A survey of convolutive blind source separation methods, Springer Handbook of Speech Processing, 2007. ,
Blind Separation of Underdetermined Convolutive Mixtures Using Their Time–Frequency Representation, IEEE Transactions on Audio, Speech, and Language Processing, vol.15, issue.5, pp.1540-1550, 2007. ,
DOI : 10.1109/TASL.2007.898455
Compressed sensing and best $k$-term approximation, Journal of the American Mathematical Society, vol.22, issue.1, pp.211-231, 2009. ,
DOI : 10.1090/S0894-0347-08-00610-3
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.5477
Decoding by Linear Programming, IEEE Transactions on Information Theory, vol.51, issue.12, pp.4203-4215, 2005. ,
DOI : 10.1109/TIT.2005.858979
On sparse reconstruction from Fourier and Gaussian measurements, Communications on Pure and Applied Mathematics, vol.52, issue.8, pp.611025-1045, 2008. ,
DOI : 10.1002/cpa.20227
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?, IEEE Transactions on Information Theory, vol.52, issue.12, pp.5406-5425, 2006. ,
DOI : 10.1109/TIT.2006.885507
On the complexity of unique solutions, Journal of the ACM, vol.31, issue.2, pp.392-400, 1984. ,
DOI : 10.1145/62.322435
Uniqueness of integer solution of linear equations, Optimization Letters, vol.33, issue.4, 2009. ,
DOI : 10.1007/s11590-010-0183-0
Blind separation of two multi-level sources from a single linear mixture, 2008 IEEE Workshop on Machine Learning for Signal Processing, pp.93-98, 2008. ,
DOI : 10.1109/MLSP.2008.4685457
Counting the Faces of Randomly-Projected Hypercubes and Orthants, with Applications, Discrete & Computational Geometry, vol.42, issue.2, pp.522-541, 2010. ,
DOI : 10.1007/s00454-009-9221-z
Sparse representations in unions of bases, IEEE Transactions on Information Theory, vol.49, issue.12, pp.3320-3325, 2003. ,
DOI : 10.1109/TIT.2003.820031
URL : https://hal.archives-ouvertes.fr/inria-00570057
A note on guaranted sparse recovery via 1 minimization ,
Optimally sparse representation in general (nonorthogonal) dictionaries via ??1 minimization, Proc. Nat. Acad. Sci. USA, pp.2197-2202, 2002. ,
DOI : 10.1073/pnas.0437847100
Compressed sensing with coherent and redundant dictionaries, Press, Applied and Computational Harmonic Analysis, 2011. ,
Uncertainty Principles and Signal Recovery, SIAM Journal on Applied Mathematics, vol.49, issue.3, pp.906-931, 1989. ,
DOI : 10.1137/0149053
A toolbox for performance measurement in (blind) source separation ,
Probability Inequalities for Sums of Bounded Random Variables, Journal of the American Statistical Association, vol.1, issue.301, pp.13-30, 1963. ,
DOI : 10.1214/aoms/1177730491