, 50 4.2.1 ICA par Infomax, p.54
, 54 4.3.1 Une modification simple de, p.60
, dépliage" de seuillage itératif149 9.2.3 Alignement de permutation avec l'approximation "convolutive, p.149
, On multiplicative transfer function approximation in the short-time fourier transform domain, IEEE Signal Processing Letters, vol.14, issue.5, pp.337-340, 2007.
, System identification in the shorttime fourier transform domain with crossband filtering, IEEE Transactions on Audio, Speech, and Language Processing, vol.15, issue.4, pp.1305-1319, 2007.
, 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
, 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
, Adaptive neural architectures : detection of primitives, Proc. of COGNITIVA'85, pp.593-597, 1985.
, Amplitude modulation decorrelation for convolutive blind source separation, Proc. ICA, pp.215-220, 2000.
, A subspace algorithm for certain blind identification problems, IEEE Transactions on Information Theory, vol.43, issue.2, pp.499-511, 1997.
DOI : 10.1109/18.556108
URL : https://hal.archives-ouvertes.fr/hal-00621655
, Zbynvek Koldovsk`dovsk`y , Guido Nolte, Andreas Ziehe, and Alexis Benichoux. The 2011 signal separation evaluation campaign (sisec2011) :-audio source separation, Latent Variable Analysis and Signal Separation, pp.414-422, 2012.
, Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010), pp.1-4, 2010.
DOI : 10.1109/ISSPA.2010.5605570
URL : https://hal.archives-ouvertes.fr/inria-00541436
, A blind source separation technique using second-order statistics, IEEE Transactions on Signal Processing, vol.45, issue.2, pp.434-444, 1997.
DOI : 10.1109/78.554307
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.57.1048
, Mixed norms with overlapping groups as signal priors, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.4036-4039, 2011.
DOI : 10.1109/ICASSP.2011.5947238
, Adapted and Adaptive Linear Time-Frequency Representations: A Synthesis Point of View, IEEE Signal Processing Magazine, vol.30, issue.6, pp.20-31, 2013.
DOI : 10.1109/MSP.2013.2266075
URL : https://hal.archives-ouvertes.fr/hal-00863907
, Complex SVD initialization for NMF source separation on audio spectrograms, Fortschritte der Akustik DAGA '15, 2015.
, Bootstrapping adaptive interference cancelers-some practical limitations, Globecom'82-Global Telecommunications Conference, pp.1251-1255, 1982.
, Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers, Machine Learning, pp.1-122, 2011.
DOI : 10.1561/2200000016
, An informationmaximization approach to blind separation and blind deconvolution, Neural computation, vol.7, issue.6, pp.1129-1159, 1995.
, Sparsity and Morphological Diversity in Blind Source Separation, IEEE Transactions on Image Processing, vol.16, issue.11, pp.2662-2674, 2007.
DOI : 10.1109/TIP.2007.906256
URL : https://hal.archives-ouvertes.fr/hal-01125600
, Proximal alternating linearized minimization for nonconvex and nonsmooth problems, Mathematical Programming, pp.1-36, 2013.
DOI : 10.1007/BF01584660
URL : https://hal.archives-ouvertes.fr/hal-00916090
, Convex Regularizations for the Simultaneous Recording of Room Impulse Responses, IEEE Transactions on Signal Processing, vol.62, issue.8, pp.621976-1986, 2014.
DOI : 10.1109/TSP.2014.2303431
URL : https://hal.archives-ouvertes.fr/hal-00934941
, A fast iterative shrinkagethresholding algorithm for linear inverse problems Underdetermined blind source separation using sparse representations, SIAM journal on imaging sciences, pp.183-202, 2001.
, Adaptive blind signal and image processing : learning algorithms and applications, 2002.
DOI : 10.1002/0470845899
, Infomax and maximum likelihood for blind source separation, IEEE Signal Processing Letters, vol.4, issue.4, pp.112-114, 1997.
DOI : 10.1109/97.566704
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.56.3619
, High-Order Contrasts for Independent Component Analysis, Neural Computation, vol.140, issue.1, pp.157-192, 1999.
DOI : 10.1109/78.599941
URL : http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.149.6720&rep=rep1&type=pdf
, On the convergence of the iterates of" fista, Journal of Optimization Theory and Applications, vol.166, issue.3, p.25, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01060130
, Atomic Decomposition by Basis Pursuit, SIAM Review, vol.43, issue.1, pp.129-159, 2001.
DOI : 10.1137/S003614450037906X
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7694
, A Majorize–Minimize Strategy for Subspace Optimization Applied to Image Restoration, IEEE Transactions on Image Processing, vol.20, issue.6, pp.1517-1528, 2011.
DOI : 10.1109/TIP.2010.2103083
, Handbook of Blind Source Separation : Independent component analysis and applications. Academic press, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00460653
, Robust principal component analysis, Journal of the ACM (JACM), vol.58, issue.3, p.11, 2011.
, Analyse en composantes indépendantes et identification aveugle, pp.435-450, 1990.
, Independent component analysis, a new concept ? Signal processing, pp.287-314, 1994.
, Proximal splitting methods in signal processing In Fixed-point algorithms for inverse problems in science and engineering, pp.185-212, 2011.
, Independent component analysis for brain fMRI does indeed select for maximal independence, PloS one, vol.8, issue.8, p.73309, 2013.
, Variable Metric Forward???Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function, Journal of Optimization Theory and Applications, vol.21, issue.2, pp.1-26, 2013.
DOI : 10.1118/1.597290
URL : https://hal.archives-ouvertes.fr/hal-00789970
, A block coordinate variable metric forward???backward algorithm, Journal of Global Optimization, vol.6, issue.3, pp.457-485, 2016.
DOI : 10.1137/120887795
URL : https://hal.archives-ouvertes.fr/hal-00945918
, Signal recovery by proximal forward-backward splitting, Multiscale Modeling & Simulation, vol.4, issue.4, pp.1168-1200, 2005.
, A nonconvex ADMM algorithm for group sparsity with sparse groups, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.6009-6013, 2013.
DOI : 10.1109/ICASSP.2013.6638818
, Analyse générale des liaisons stochastiques : etude particulière de l'analyse factorielle linéaire. Revue de l'Institut international de statistique, pp.2-8, 1953.
DOI : 10.2307/1401511
, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, Communications on Pure and Applied Mathematics, vol.58, issue.11, pp.1413-1457, 2004.
DOI : 10.1002/0471221317
, Can recent innovations in harmonic analysis "explain" key findings in natural image statistics ? Network : computation in neural systems, pp.371-393, 2001.
, Independent EEG Sources Are Dipolar, PLoS ONE, vol.16, issue.3, p.30135, 2012.
DOI : 10.1371/journal.pone.0030135.t001
URL : https://hal.archives-ouvertes.fr/hal-00674521
, Independent component analysis for brain fMRI does not select for independence, Proceedings of the National Academy of Sciences, pp.10415-10422, 2009.
DOI : 10.1109/TIT.2008.924707
URL : http://www.pnas.org/content/106/26/10415.full.pdf
, Hybrid representations for audiophonic signal encoding, Signal Processing, vol.82, issue.11, pp.1595-1617, 2002.
DOI : 10.1016/S0165-1684(02)00304-3
URL : https://hal.archives-ouvertes.fr/hal-01300317
, Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection, SIAM Journal on Imaging Sciences, vol.7, issue.4, pp.2448-2487, 2014.
DOI : 10.1137/140968045
, Underdetermined reverberant audio source separation using a full-rank spatial covariance model. Audio, Speech, and Language Processing, IEEE Transactions on, vol.18, issue.7, pp.1830-1840, 2010.
, A generalized uncertainty principle and sparse representation in pairs of bases, IEEE Transactions on Information Theory, vol.48, issue.9, pp.2558-2567, 2002.
DOI : 10.1109/TIT.2002.801410
, Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing, 2010.
DOI : 10.1007/978-1-4419-7011-4
, Simultaneous cartoon and texture image inpainting using morphological component analysis (MCA) Subjective and objective quality assessment of audio source separation Cédric Févotte. Itakura-Saito nonnegative factorizations of the power spectrogram for music signal decomposition Machine Audition : Principles, Algorithms and Systems, chapter 11 Nonnegative matrix factorization with the Itakura-Saito divergence : With application to music analysis Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization, Mmse whitening and subspace whitening. Information TheoryFév11] Cédric Févotte IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1846-1851340, 2003.
, Cédric Févotte and Jérôme Idier Algorithms for nonnegative matrix factorization with the ?-divergence Hybrid model and structured sparsity for under-determined convolutive audio source separation A unified approach for blind source separation using sparsity and decorrelation A unified approach for over and under-determined blind source separation Vers une approche unifiée pour la séparation aveugle de sources en sur et sous-déterminé, basée sur la parcimonie et la décorrélation, Acoustics, Speech and Signal Processing 2014 IEEE International Conference on Signal Processing Conference (EUSIPCO), 2015 23rd European Signal Processing with Adaptive Sparse Structured Representations (SPARS), 2015. [FK15c] Fangchen Feng and Matthieu Kowalski Gretsi 2015, 2015. [FK17a] Fangchen Feng and Matthieu Kowalski. Revisiting Sparse ICA from a Synthesis Point of View : Blind Source Separation for Over and Underdetermined Mixture. working paper or preprint, pp.2421-2456, 2001.
, Sparsity and low-rank amplitude based blind Source Separation, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.571-575, 2017.
DOI : 10.1109/ICASSP.2017.7952220
URL : https://hal.archives-ouvertes.fr/hal-01547459
, Sparsity and low-rank amplitude based blind Source Separation, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017.
DOI : 10.1109/ICASSP.2017.7952220
URL : https://hal.archives-ouvertes.fr/hal-01547459
, On Sparse Representations in Arbitrary Redundant Bases, IEEE Transactions on Information Theory, vol.50, issue.6, pp.1341-1344, 2004.
DOI : 10.1109/TIT.2004.828141
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.1728
, Theory of communication. Part 1: The analysis of information, Journal of the Institution of Electrical Engineers - Part III: Radio and Communication Engineering, vol.93, issue.26, pp.93429-441, 1946.
DOI : 10.1049/ji-3-2.1946.0074
, The projected GSURE for automatic parameter tuning in iterative shrinkage methods, Applied and Computational Harmonic Analysis, vol.30, issue.3, pp.407-422, 2011.
DOI : 10.1016/j.acha.2010.11.005
, Learning fast approximations of sparse coding, Proceedings of the 27th International Conference on Machine Learning (ICML-10), pp.399-406, 2010.
, 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
, Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations, NeuroImage, vol.70, pp.410-422, 2013.
DOI : 10.1016/j.neuroimage.2012.12.051
URL : https://hal.archives-ouvertes.fr/hal-00773276
, A consolidated perspective on multi-microphone speech enhancement and source separation, Speech and Language Processing, 2016.
DOI : 10.1109/taslp.2016.2647702
URL : https://hal.archives-ouvertes.fr/hal-01414179
, Improved FastICA algorithm in fMRI data analysis using the sparsity property of the sources, Journal of neuroscience methods, vol.263, pp.103-114, 2016.
, Singing-voice separation from monaural recordings using robust principal component analysis, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.57-60, 2012.
DOI : 10.1109/ICASSP.2012.6287816
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.294.6722
, reseaux de neurones i synapses modifiables : Decodage de messages sensoriels composites par une apprentissage non supervise et permanent, CR Acad. Sci. Paris, vol.111, pp.277-282
, Wavelets and natural image statistics, Proc. Scandinavian Conf. on Image Analysis' 97, 1997.
, Détection de grandeurs primitives dans un message composite par une architecture de calcul neuromimétique en apprentissage non supervisé, 10° Colloque sur le traitement du signal et des images, 1985.
, Space or time adaptive signal processing by neural network models, AIP Conference Proceedings, pp.206-211, 1986.
DOI : 10.1063/1.36258
, Independent component analysis, 2004.
, A tutorial on MM algorithms. The American Statistician, pp.30-37, 2004.
, A Fast Fixed-Point Algorithm for Independent Component Analysis, Neural Computation, vol.9, issue.7, pp.1483-1492, 1997.
DOI : 10.1109/18.212280
, Fixed-point continuation for`1for`for`1 -minimization : Methodology and convergence, SIAM Journal on Optimization, vol.19, issue.3, pp.1107-1130, 2008.
, A method of ICA in time-frequency domain, Proc. ICA. Citeseer, 1999.
, An expanded theoretical treatment of iteration-dependent majorize-minimize algorithms, IEEE Transactions on Image Processing, vol.16, issue.10, pp.2411-2422, 2007.
, Group lasso with overlap and graph lasso, Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pp.433-440, 2009.
DOI : 10.1145/1553374.1553431
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.7108
, Inverse problems with time-frequency dictionaries and non-white Gaussian noise, 2015 23rd European Signal Processing Conference (EUSIPCO), pp.1741-1745, 2015.
DOI : 10.1109/EUSIPCO.2015.7362682
URL : https://hal.archives-ouvertes.fr/hal-01199635
, Complex non-negative matrix factorization: Phase-aware sparse representation of audio spectrograms, The Journal of the Acoustical Society of America, vol.140, issue.4, pp.3053-3053, 2016.
DOI : 10.1121/1.4969488
, Determined Blind Source Separation Unifying Independent Vector Analysis and Nonnegative Matrix Factorization, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.24, issue.9, pp.1626-1641, 2016.
DOI : 10.1109/TASLP.2016.2577880
, Social sparsity ! neighborhood systems enrich structured shrinkage operators A study of bernoulli and structured random waveform models for audio signals Structured sparsity : from mixed norms to structured shrinkage Efficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound Beyond the narrowband approximation : Wideband convex methods for under-determined reverberant audio source separation Special Issue on Underdetermined blind source separation based on sparse representation Analysis of sparse representation and blind source separation An introduction to independent component analysis : InfoMax and FastICA algorithms, Multi-subject fMRI connectivity analysis using sparse dictionary learning and multiset canonical correlation analysis Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on SPARS 05 Proceeding of Signal Processing with Adaptive Sparse Structured Representations Tutorials in Quantitative Methods for PsychologyLCKL07] Yuanqing Lin, Jingdong Chen, Youngmoo Kim, and Daniel D Lee. Blind channel identification for speech dereverberation using`1using`using`1 -norm sparse learning. In NIPS, pp.683-686, 2004.
, A unifying information-theoretic framework for independent component analysis, Computers & Mathematics with Applications, vol.39, issue.11, pp.1-21, 2000.
, Audio source separation based on convolutive transfer function and frequency-domain BIBLIOGRAPHIE Lasso optimization Sparsity-promoted blind deconvolution of groundpenetrating radar (GPR) data, IEEE International Conference on Acoustics, Speech, and Signal ProcessingLi14] Lianlin Li, pp.111330-1334, 2014.
, Prediction of energy decay in room impulse responses simulated with an image-source model, The Journal of the Acoustical Society of America, vol.124, issue.1, pp.269-277, 2008.
, Deep NMF for speech separation, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.66-70, 2015.
DOI : 10.1109/ICASSP.2015.7177933
, Algorithms for non-negative matrix factorization, Advances in neural information processing systems, pp.556-562, 2001.
, A wavelet tour of signal processing. Academic press, 1999.
, Independent component analysis of electroencephalographic data Advances in neural information processing systems, pp.145-151, 1996.
, Blind separation of sources : Methods, assumptions and applications, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol.83, issue.8, pp.1498-1512, 2000.
URL : https://hal.archives-ouvertes.fr/hal-00802445
, Compressed sensing for acoustic response reconstruction: Interpolation of the early part, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp.225-228, 2011.
DOI : 10.1109/ASPAA.2011.6082298
URL : https://hal.archives-ouvertes.fr/hal-00766979
, An approach to blind source separation based on temporal structure of speech signals, Neurocomputing, vol.41, issue.1-4, pp.1-24, 2001.
DOI : 10.1016/S0925-2312(00)00345-3
, Blind speech separation, 2007.
DOI : 10.1007/978-1-4020-6479-1
, Smooth minimization of non-smooth functions, Mathematical Programming, vol.269, issue.1, pp.127-152, 2005.
DOI : 10.1007/s10107-004-0552-5
, On spectral clustering : Analysis and an algorithm Advances in neural information processing systems, pp.849-856, 2002.
, Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol.22, issue.3, pp.727-739, 2014.
DOI : 10.1109/TASLP.2014.2303576
, An Accelerated Linearized Alternating Direction Method of Multipliers, SIAM Journal on Imaging Sciences, vol.8, issue.1, pp.644-681, 2015.
DOI : 10.1137/14095697X
, ICA and related models applied to audio analysis and separation Maximum likelihood blind source separation : A context-sensitive generalization of ICA Advances in neural information processing systems Blind separation of convolutive audio mixtures using nonstationarity Double sparsity : Towards blind estimation of multiple channels Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain bss, Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation . Audio, Speech, and Language Processing Proc. 4th Int. ICSC Symposium on Soft Computing and Intelligent Systems for Industry. Citeseer, 2001. [PP + 97 Proc. ICASAG10] Prasad Sudhakar, Simon Arberet, and Rémi Gribonval International Conference on Latent Variable Analysis and Signal Separation Circuits and Systems ISCAS 2007. IEEE International Symposium onSAM11] Hiroshi Sawada, Shoko Araki, and Shoji Makino. Underdetermined convolutive blind source separation via frequency bin-wise clustering and permutation alignment. Audio, Speech, and Language Processing, pp.550-563, 1997.
, Grouping Separated Frequency Components by Estimating Propagation Model Parameters in Frequency-Domain Blind Source Separation, Audio Engineering Society Conference : 22nd International Conference : Virtual, Synthetic, and Entertainment AudioSKAU13] Hideyuki Sawada, pp.1592-1604971, 2002.
DOI : 10.1109/TASL.2007.899218
, A robust and precise method for solving the permutation problem of frequency-domain blind source separation. Speech and Audio Processing, IEEE Transactions on, vol.12, issue.5, pp.530-538, 2004.
, The linear time frequency analysis toolbox, Multiresolution and Information Processing, p.2012
, Relative Transfer Function Identification Using Convolutive Transfer Function Approximation, IEEE Transactions on Audio, Speech, and Language Processing, vol.17, issue.4, pp.546-555, 2009.
DOI : 10.1109/TASL.2008.2009576
, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996.
DOI : 10.1111/j.1467-9868.2011.00771.x
, Linear demixed domain multichannel nonnegative matrix factorization for speech enhancement, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.476-480, 2017.
DOI : 10.1109/ICASSP.2017.7952201
, Convergence of a Block Coordinate Descent Method for Nondifferentiable Minimization, Journal of Optimization Theory and Applications, vol.109, issue.3, pp.475-494, 2001.
DOI : 10.1023/A:1017501703105
, From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound, IEEE Signal Processing Magazine, vol.31, issue.3, pp.31107-115, 2014.
DOI : 10.1109/MSP.2013.2297440
URL : https://hal.archives-ouvertes.fr/hal-00922378
, Performance measurement in blind audio source separation. Audio, Speech, and Language Processing, IEEE Transactions on, vol.14, issue.4, pp.1462-1469, 2006.
DOI : 10.1109/tsa.2005.858005
URL : https://hal.archives-ouvertes.fr/inria-00544230
, Complex nonconvex`pnonconvex`nonconvex`p norm minimization for underdetermined source separation, International Conference on Independent Component Analysis and Signal Separation, pp.430-437, 2007.
DOI : 10.1007/978-3-540-74494-8_54
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.230.4633
, [Vir07a] Tuomas Virtanen Monaural sound source separation by nonnegative matrix factorization with temporal continuity and sparseness criteria, Audio, Speech, and Language Processing, pp.1066-1074, 2007.
, Monaural sound source separation by perceptually weighted non-negative matrix factorization, 2007.
, First stereo audio source separation evaluation campaign : data, algorithms and results. Independent Component Analysis and Signal Separation, pp.552-559, 2007.
DOI : 10.1007/978-3-540-74494-8_69
URL : https://hal.archives-ouvertes.fr/inria-00544199
, Algorithmes rapides d'optimisation convexe Applications à la reconstruction d'images et à la détection de changements, 2008.
, MAP-based underdetermined blind source separation of convolutive mixtures by hierarchical clustering and`1and`and`1 -norm minimization, EURASIP Journal on Applied Signal Processing, issue.1, pp.81-81, 2007.
, Global convergence of ADMM in nonconvex nonsmooth optimization. arXiv preprint, 2015.
, Model selection and estimation in regression with grouped variables, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.58, issue.1, pp.49-67, 2006.
DOI : 10.1198/016214502753479356
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.366.4278
, Alternating direction method of multipliers for a class of nonconvex and nonsmooth problems with applications to background/foreground extraction. arXiv preprint, 2015.
, 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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.1318
, Blind Source Separation by Sparse Decomposition in a Signal Dictionary, Neural Computation, vol.1, issue.4, pp.863-882, 2001.
DOI : 10.1016/S0042-6989(97)00169-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.4566