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Bibliography

Major publications by the team in recent years
  • 1F. Bimbot, C. Cerisara, C. Fougeron, G. Gravier, L. Lamel, F. Pellegrino, P. Perrier.

    Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech), 25-29 August 2013, Lyon (France), International Speech Communication Association (ISCA), August 2013, over 3500 p.

    http://hal.archives-ouvertes.fr/hal-00931864
  • 2F. Bimbot, E. Deruty, G. Sargent, E. Vincent.

    System & Contrast : A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, in: Music Perception, 2016, 41 p, To appear - http://mp.ucpress.edu/ .

    https://hal.inria.fr/hal-01188244
  • 3N. Duong, E. Vincent, R. Gribonval.

    Under-determined reverberant audio source separation using a full-rank spatial covariance model, in: IEEE Transactions on Audio, Speech and Language Processing, July 2010, vol. 18, no 7, pp. 1830–1840. [ DOI : 10.1109/TASL.2010.2050716 ]

    https://hal.inria.fr/inria-00541865
  • 4R. Gribonval.

    Should penalized least squares regression be interpreted as Maximum A Posteriori estimation?, in: IEEE Transactions on Signal Processing, May 2011, vol. 59, no 5, pp. 2405-2410. [ DOI : 10.1109/TSP.2011.2107908 ]

    http://hal.inria.fr/inria-00486840
  • 5R. Gribonval, K. Schnass.

    Dictionary Identification - Sparse Matrix-Factorisation via _1-Minimisation, in: IEEE Transactions on Information Theory, July 2010, vol. 56, no 7, pp. 3523–3539. [ DOI : 10.1109/TIT.2010.2048466 ]

    https://hal.archives-ouvertes.fr/hal-00541297
  • 6D. K. Hammond, P. Vandergheynst, R. Gribonval.

    Wavelets on graphs via spectral graph theory, in: Applied and Computational Harmonic Analysis, March 2011, vol. 30, no 2, pp. 129–150. [ DOI : 10.1016/j.acha.2010.04.005 ]

    https://hal.inria.fr/inria-00541855
  • 7S. Kitić, L. Albera, N. Bertin, R. Gribonval.

    Physics-driven inverse problems made tractable with cosparse regularization, in: IEEE Transactions on Signal Processing, January 2016, vol. 64, no 2, pp. 335-348. [ DOI : 10.1109/TSP.2015.2480045 ]

    https://hal.inria.fr/hal-01133087
  • 8A. Muscariello, F. Bimbot, G. Gravier.

    Unsupervised Motif Acquisition in Speech via Seeded Discovery and Template Matching Combination, in: IEEE Transactions on Audio, Speech and Language Processing, September 2012, vol. 20, no 7, pp. 2031 - 2044. [ DOI : 10.1109/TASL.2012.2194283 ]

    http://hal.inria.fr/hal-00740978
  • 9S. Nam, M. E. Davies, M. Elad, R. Gribonval.

    The Cosparse Analysis Model and Algorithms, in: Applied and Computational Harmonic Analysis, 2013, vol. 34, no 1, pp. 30–56, Preprint available on arXiv since 24 Jun 2011. [ DOI : 10.1016/j.acha.2012.03.006 ]

    http://hal.inria.fr/inria-00602205
  • 10A. Ozerov, E. Vincent, F. Bimbot.

    A General Flexible Framework for the Handling of Prior Information in Audio Source Separation, in: IEEE Transactions on Audio, Speech and Language Processing, May 2012, vol. 20, no 4, pp. 1118 - 1133, 16.

    http://hal.inria.fr/hal-00626962
  • 11E. Vincent, N. Bertin, R. Gribonval, F. Bimbot.

    From blind to guided audio source separation, in: IEEE Signal Processing Magazine, December 2013.

    http://hal.inria.fr/hal-00922378
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 14H. Becker, L. Albera, P. Comon, R. Gribonval, F. Wendling, I. Merlet.

    Brain source imaging: from sparse to tensor models, in: IEEE Signal Processing Magazine, November 2015, vol. 32, no 6, pp. 100-112. [ DOI : 10.1109/MSP.2015.2413711 ]

    https://hal.archives-ouvertes.fr/hal-01190559
  • 15H. Becker, L. Albera, P. Comon, A. Kachenoura, I. Merlet.

    A penalized semi-algebraic deflation ICA algorithm for the efficient extraction of interictal epileptic signals, in: IEEE Journal of Biomedical and Health Informatics, 2015.

    https://hal.archives-ouvertes.fr/hal-01246030
  • 16F. Bimbot, E. Deruty, G. Sargent, E. Vincent.

    System & Contrast : A Polymorphous Model of the Inner Organization of Structural Segments within Music Pieces, in: Music Perception, 2016, 41 p, To appear - http://mp.ucpress.edu/.

    https://hal.inria.fr/hal-01188244
  • 17A. Bonnefoy, V. Emiya, L. Ralaivola, R. Gribonval.

    Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso, in: IEEE Transactions on Signal Processing, 2015, vol. 63, no 19, 20 p. [ DOI : 10.1109/TSP.2015.2447503 ]

    https://hal.archives-ouvertes.fr/hal-01084986
  • 18A. Bourrier, F. Perronnin, R. Gribonval, P. Pérez, H. Jégou.

    Explicit embeddings for nearest neighbor search with Mercer kernels, in: Journal of Mathematical Imaging and Vision, January 2015, pp. 1-10. [ DOI : 10.1007/s10851-015-0555-2 ]

    https://hal.inria.fr/hal-00722635
  • 19R. Gribonval, R. Jenatton, F. Bach.

    Sparse and spurious: dictionary learning with noise and outliers, in: IEEE Transactions on Information Theory, 2015, 22 p, This is a substantially revised version of a first draft that appeared as a preprint titled "Local stability and robustness of sparse dictionary learning in the presence of noise", http://hal.inria.fr/hal-00737152. [ DOI : 10.1109/TIT.2015.2472522 ]

    https://hal.archives-ouvertes.fr/hal-01025503
  • 20R. Gribonval, R. Jenatton, F. Bach, M. Kleinsteuber, M. Seibert.

    Sample Complexity of Dictionary Learning and other Matrix Factorizations, in: IEEE Transactions on Information Theory, 2015, 18 p, to appear. [ DOI : 10.1109/TIT.2015.2424238 ]

    https://hal.inria.fr/hal-00918142
  • 21S. Hajipour, L. Albera, M. Bagher, I. Merlet.

    An efficient Jacobi-like deflationary ICA algorithm: application to EEG denoising, in: IEEE Signal Processing Letters, August 2015.

    https://hal.archives-ouvertes.fr/hal-01245250
  • 22S. Hajipour, M. Bagher, L. Albera, I. Merlet.

    Denoising of ictal EEG data using semi-blind source separation methods based on time-frequency priors, in: IEEE Journal of Biomedical and Health Informatics, May 2015, vol. 19, no 3, pp. 839-847.

    https://hal.archives-ouvertes.fr/hal-01246033
  • 23S. Kitić, L. Albera, N. Bertin, R. Gribonval.

    Physics-driven inverse problems made tractable with cosparse regularization, in: IEEE Transactions on Signal Processing, January 2016, vol. 64, no 2, pp. 335-348. [ DOI : 10.1109/TSP.2015.2480045 ]

    https://hal.inria.fr/hal-01133087
  • 24M. Seibert, J. Wörmann, R. Gribonval, M. Kleinsteuber.

    Learning Co-Sparse Analysis Operators with Separable Structures, in: IEEE Transactions on Signal Processing, 2015. [ DOI : 10.1109/TSP.2015.2481875 ]

    https://hal.inria.fr/hal-01130411
  • 25N. Souviraà-Labastie, A. Olivero, E. Vincent, F. Bimbot.

    Multi-channel audio source separation using multiple deformed references, in: IEEE Transactions on Audio, Speech and Language Processing, June 2015, vol. 23, no 11, pp. 1775-1787.

    https://hal.inria.fr/hal-01070298

Invited Conferences

  • 26L. Albera, H. Becker, A. Karfoul, R. Gribonval, A. Kachenoura, S. Bensaid, L. Senhadji, A. Hernandez, I. Merlet.

    Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data, in: 2015 37th annual international conference of the IEEE Engineering in Medicine and Biology Society, Milan, Italy, August 2015, pp. 6995 - 6998.

    https://hal.archives-ouvertes.fr/hal-01245239
  • 27H. Becker, A. Karfoul, L. Albera, R. Gribonval, J. Fleureau, P. Guillotel, A. Kachenoura, L. Senhadji, I. Merlet.

    Tensor Decomposition Exploiting Structural Constraints for Brain Source Imaging, in: 2015 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 2015, pp. 181-184.

    https://hal.archives-ouvertes.fr/hal-01245111
  • 28G. Puy, M. E. Davies, R. Gribonval.

    Linear embeddings of low-dimensional subsets of a Hilbert space to m, in: EUSIPCO - 23rd European Signal Processing Conference, Nice, France, August 2015.

    https://hal.inria.fr/hal-01116153
  • 29L. Wang, L. Albera, L. Senhadji, J.-C. Pesquet.

    An Alternating Direction Method of Multipliers for Constrained Joint Diagonalization by Congruence (Invited Paper), in: 2015 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico, December 2015, pp. 197-200.

    https://hal.archives-ouvertes.fr/hal-01245119

International Conferences with Proceedings

  • 30M. Chafii, J. Palicot, R. Gribonval.

    L'optimalité de l'OFDM en termes de performance en PAPR, in: 25ème Colloque Gretsi 2015, Lyon, France, September 2015.

    https://hal-supelec.archives-ouvertes.fr/hal-01165509
  • 32L. Le Magoarou, R. Gribonval, A. Gramfort.

    FAμST: speeding up linear transforms for tractable inverse problems, in: European Signal Processing Conference (EUSIPCO), Nice, France, August 2015.

    https://hal.archives-ouvertes.fr/hal-01156478
  • 33L. Le Magoarou, R. Gribonval.

    Chasing butterflies: In search of efficient dictionaries, in: International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, Australia, April 2015. [ DOI : 10.1109/ICASSP.2015.7178579 ]

    https://hal.archives-ouvertes.fr/hal-01104696
  • 34A. Magassouba, N. Bertin, F. Chaumette.

    Sound-based control with two microphones, in: IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'15, Hamburg, Germany, September 2015, pp. 5568-5573.

    https://hal.inria.fr/hal-01185841
  • 35T. Nowakowski, N. Bertin, R. Gribonval, J. De Rosny, L. Daudet.

    Membrane Shape And Boundary Conditions Estimation Using Eigenmode Decomposition, in: ICASSP 2016 – 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March 2016.

    https://hal.inria.fr/hal-01254882
  • 36T. Oberlin, C. Barillot, R. Gribonval, P. Maurel.

    Symmetrical EEG-FMRI Imaging by Sparse Regularization, in: EUSIPCO – 23rd European Signal Processing Conference, Nice, France, August 2015, pp. 1-5.

    https://hal.archives-ouvertes.fr/hal-01170889
  • 37N. Souviraà-Labastie, E. Vincent, F. Bimbot.

    Music separation guided by cover tracks: designing the joint NMF model, in: 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Brisbane, Australia, April 2015.

    https://hal.archives-ouvertes.fr/hal-01108675

Conferences without Proceedings

  • 38N. Bertin, S. Kitić, R. Gribonval.

    Joint estimation of sound source location and boundary impedance with physics-driven cosparse regularization, in: ICASSP - 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Shanghai, China, March 2016.

    https://hal.archives-ouvertes.fr/hal-01247227
  • 39V. Emiya, A. Bonnefoy, L. Daudet, R. Gribonval.

    Le problème d'échantillonnage compressif avec permutation des capteurs et une solution de type branch-and-bound, in: Congrès ROADEF de la société Française de Recherche Opérationnelle et Aide à la Décision, Marseille, France, February 2015.

    https://hal.inria.fr/hal-01100265
  • 40N. Keriven, A. Bourrier, R. Gribonval, P. Pérez.

    Sketching for Large-Scale Learning of Mixture Models, in: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 2016.

    https://hal.inria.fr/hal-01208027
  • 41L. Le Magoarou, R. Gribonval.

    Are There Approximate Fast Fourier Transforms On Graphs?, in: International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 2016.

    https://hal.archives-ouvertes.fr/hal-01254108
  • 42G. Sargent, P. Hanna, H. Nicolas, F. Bimbot.

    Exploring the complementarity of audio-visual structural regularities for the classification of videos into TV-program collections, in: ISM, Miami, United States, IEEE (editor), December 2015.

    https://hal.archives-ouvertes.fr/hal-01256229
  • 43N. Tremblay, G. Puy, P. Borgnat, R. Gribonval, P. Vandergheynst.

    Accelerated spectral clustering using graph filtering of random signals, in: 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, March 2016.

    https://hal.archives-ouvertes.fr/hal-01243682

Scientific Books (or Scientific Book chapters)

  • 44N. Bertin, L. Daudet, V. Emiya, R. Gribonval.

    Compressive Sensing in Acoustic Imaging, in: Compressed Sensing and its Applications - MATHEON Workshop 2013, H. Boche, R. Calderbank, G. Kutyniok, J. Vybíral (editors), Applied and Numerical Harmonic Analysis, Birkhäuser Basel, 2015, pp. 169-192.

    https://hal.inria.fr/hal-01180899
  • 45A. Bourrier, R. Gribonval, P. Pérez.

    Compressive Gaussian Mixture Estimation, in: Compressed Sensing and its Applications - MATHEON Workshop 2013, H. Boche, R. Calderbank, G. Kutyniok, J. Vybíral (editors), Applied and Numerical Harmonic Analysis, Birkhäuser Basel, 2015, pp. 239–258. [ DOI : 10.1007/978-3-319-16042-9_8 ]

    https://hal.inria.fr/hal-01181063

Scientific Popularization

  • 46N. Bertin, L. Daudet, R. Gribonval, F. Ollivier.

    L'holographie acoustique, un nouvel outil pour les luthiers, in: Pour la science, May 2015, no 451, 9 p.

    https://hal.inria.fr/hal-01149055

Other Publications

  • 47A. Bonnefoy, V. Emiya, L. Ralaivola, R. Gribonval.

    Fast Solving of the Group-Lasso via Dynamic Screening, July 2015, SPARS15 - Signal Processing with Adaptive Sparse Structured Representations.

    https://hal.inria.fr/hal-01178354
  • 48M. Chafii, J. Palicot, R. Gribonval.

    A Necessary Condition for Designing Waveforms with better PAPR than OFDM, September 2015, working paper or preprint.

    https://hal-supelec.archives-ouvertes.fr/hal-01128714
  • 49N. Keriven, R. Gribonval.

    Compressive Gaussian Mixture Estimation by Orthogonal Matching Pursuit with Replacement, July 2015, SPARS 2015.

    https://hal.inria.fr/hal-01165984
  • 50S. Kitić, N. Bertin, R. Gribonval.

    Time-data tradeoff for the sparse and cosparse regularizations of physics-driven inverse problems, July 2015, SPARS15 - Signal Processing with Adaptive Sparse Structured Representations.

    https://hal.inria.fr/hal-01147438
  • 51L. Le Magoarou, R. Gribonval.

    Flexible Multi-layer Sparse Approximations of Matrices and Applications, June 2015, working paper or preprint.

    https://hal.inria.fr/hal-01167948
  • 52L. Le Magoarou, R. Gribonval.

    Learning computationally efficient dictionaries and their implementation as fast transforms, February 2015, working paper or preprint.

    https://hal.inria.fr/hal-01010577
  • 53L. Le Magoarou, R. Gribonval.

    Multi-layer Sparse Matrix Factorization, July 2015, SPARS 2015 Signal Processing with Adaptive Sparse Structured Representations.

    https://hal.inria.fr/hal-01158057
  • 54G. Puy, M. E. Davies, R. Gribonval.

    Linear embeddings of low-dimensional subsets of a Hilbert space to m, July 2015, SPARS15 - Signal Processing with Adaptive Sparse Structured Representations.

    https://hal.inria.fr/hal-01157992
  • 55G. Puy, M. E. Davies, R. Gribonval.

    Recipes for stable linear embeddings from Hilbert spaces to m, September 2015, Submitted to IEEE Transactions on Information Theory.

    https://hal.inria.fr/hal-01203614
  • 56G. Puy, N. Tremblay, R. Gribonval, P. Vandergheynst.

    Random sampling of bandlimited signals on graphs, November 2015, working paper or preprint.

    https://hal.inria.fr/hal-01229578
  • 57Y. Traonmilin, R. Gribonval.

    Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all, October 2015, working paper or preprint.

    https://hal.inria.fr/hal-01207987
References in notes
  • 58L. ALBERA, A. FERREOL, P. CHEVALIER, P. COMON.

    ICAR, a tool for blind source separation using fourth order statistics only, in: IEEE Transactions On Signal Processing, October 2005, vol. 53, pp. 3633-3643.
  • 59A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval, M. D. Plumbley.

    Audio Inpainting, in: IEEE Transactions on Audio, Speech and Language Processing, March 2012, vol. 20, no 3, pp. 922 - 932. [ DOI : 10.1109/TASL.2011.2168211 ]

    http://hal.inria.fr/inria-00577079
  • 60L. Albera, S. Kitić, N. Bertin, G. Puy, R. Gribonval.

    Brain source localization using a physics-driven structured cosparse representation of EEG signals, in: 2014 IEEE International Workshop on Machine Learning for Signal Processing, Reims, France, September 2014, 6 p.

    https://hal.archives-ouvertes.fr/hal-01027609
  • 61S. Arberet, A. Ozerov, F. Bimbot, R. Gribonval.

    A tractable framework for estimating and combining spectral source models for audio source separation, in: Signal Processing, August 2012, vol. 92, no 8, pp. 1886-1901.

    http://hal.inria.fr/hal-00694071
  • 62F. Asano, S. Ikeda, M. Ogawa, H. Asoh, N. Kitawaki.

    Combined approach of array processing and independent component analysis for blind separation of acoustic signals, in: IEEE Transactions On Speech and Audio Processing, May 2003, vol. 11, no 3, pp. 204-215.
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    Single channel source separation using short-time independent component analysis, in: Audio Engineering Society, 119's convention, 2005, pp. 1-6.
  • 64H. Becker, L. Albera, P. Comon, R. Gribonval, I. Merlet.

    Fast, variation-based methods for the analysis of extended brain sources, in: 22nd European Signal Processing Conference (EUSIPCO-2014), Lisbonne, Portugal, September 2014, 5 p.

    https://hal.archives-ouvertes.fr/hal-01012083
  • 65H. Becker, L. Albera, P. Comon, R. Gribonval, F. Wendling, I. Merlet.

    A Performance Study of various Brain Source Imaging Approaches, in: 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, IEEE, May 2014, pp. 5910-5914.

    https://hal.archives-ouvertes.fr/hal-00990273
  • 66C. Bilen, S. Kitić, N. Bertin, R. Gribonval.

    Sparse Acoustic Source Localization with Blind Calibration for Unknown Medium Characteristics, August 2014, iTwist - 2nd international - Traveling Workshop on Interactions between Sparse models and Technology.

    https://hal.inria.fr/hal-01060320
  • 67C. Blandin, A. Ozerov, E. Vincent.

    Multi-source TDOA estimation in reverberant audio using angular spectra and clustering, in: Signal Processing, March 2012, vol. 92, pp. 1950-1960, Revised version including minor corrections in equations (17), (18) and Figure 1 compared to the version published by Elsevier. [ DOI : 10.1016/j.sigpro.2011.10.032 ]

    http://hal.inria.fr/inria-00630994
  • 68A. Bourrier, R. Gribonval, P. Pérez.

    Compressive Gaussian Mixture Estimation, in: Signal Processing with Adaptive Sparse Structured Representations (SPARS) 2013, Switzerland, July 2013.

    http://hal.inria.fr/hal-00811819
  • 69A. Bourrier, R. Gribonval, P. Pérez.

    Compressive Gaussian Mixture Estimation, in: ICASSP - 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, 2013, pp. 6024-6028.

    http://hal.inria.fr/hal-00799896
  • 70A. Bourrier, R. Gribonval, P. Pérez.

    Estimation de mélange de Gaussiennes sur données compressées, in: 24ème Colloque Gretsi, France, September 2013, 191 p.

    http://hal.inria.fr/hal-00839579
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    Separation of mixed audio sources by independent component analysis, Mistubishi electric research labs, Cambridge, MA, USA, 2000.

    http://www.merl.com/publications/TR2001-031/
  • 75M. Chafii, J. Palicot, R. Gribonval.

    A PAPR upper bound of generalized waveforms for multi-carrier modulation systems, in: 6th International Symposium on Communications, Control, and Signal Processing - ISCCSP 2014, Athènes, Greece, May 2014, pp. 461 - 464. [ DOI : 10.1109/ISCCSP.2014.6877913 ]

    https://hal-supelec.archives-ouvertes.fr/hal-01072519
  • 76M. Chafii, J. Palicot, R. Gribonval.

    Closed-form Approximations of the PAPR Distribution for Multi-Carrier Modulation Systems, in: EUSIPCO 2014 - European Signal Processing Conference, Lisbonne, Portugal, September 2014.

    https://hal.inria.fr/hal-01054126
  • 77M. Chafii, J. Palicot, R. Gribonval.

    Closed-form approximations of the peak-to-average power ratio distribution for multi-carrier modulation and their applications, in: EURASIP Journal on Advances in Signal Processing, 2014, vol. 2014, no 1, 121 p. [ DOI : 10.1186/1687-6180-2014-121 ]

    https://hal.inria.fr/hal-01056153
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    Visual servo control, Part I: Basic approaches, in: IEEE Robotics and Automation Magazine, 2006, vol. 13, no 4, pp. 82-90.

    https://hal.inria.fr/inria-00350283
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    Application to telecommunications, in: Handbook of blind source separation, P. Comon, C. Jutten (editors), Academic Press, March 2010.
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    Multiple object decomposition based on independent component analysis of multi-energy X-ray projections, in: International Conference on Image Processing ICIP, 2010, pp. 4173-4176.
  • 83N. Duong, E. Vincent, R. Gribonval.

    Spatial location priors for Gaussian model-based reverberant audio source separation, Inria, September 2012, no RR-8057.

    http://hal.inria.fr/hal-00727781
  • 84N. Duong, E. Vincent, R. Gribonval.

    Spatial location priors for Gaussian model based reverberant audio source separation, in: EURASIP Journal on Advances in Signal Processing, September 2013, 149 p. [ DOI : 10.1186/1687-6180-2013-149 ]

    http://hal.inria.fr/hal-00865125
  • 85R. Giryes, S. Nam, M. Elad, R. Gribonval, M. E. Davies.

    Greedy-Like Algorithms for the Cosparse Analysis Model, in: Linear Algebra and its Applications, January 2014, vol. 441, pp. 22–60, partially funded by the ERC, PLEASE project, ERC-2011-StG-277906. [ DOI : 10.1016/j.laa.2013.03.004 ]

    http://hal.inria.fr/hal-00716593
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    Dictionary identifiability from few training samples, in: Proc. European Conf. on Signal Processing - EUSIPCO, August 2008.
  • 87J. Hao, X. Zou, P. M. Wilson, N. P. Davies, Y. Sun, C. A. Peet, T. N. Arvanitis.

    A comparative study of feature extraction and blind source separation of independent component analysis (ICA) on childhood brain tumour 1H magnetic resonance spectra, in: NMR in Biomedicine, 2009, vol. 22, no 8, pp. 809-818.
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  • 91N. Ito.

    Robust microphone array signal processing against diffuse noise, University of Tokyo, January 2012.

    http://hal.inria.fr/tel-00691931
  • 92N. Ito, E. Vincent, N. Ono, S. Sagayama.

    Robust estimation of directions-of-arrival in diffuse noise based on matrix-space sparsity, Inria, October 2012, no RR-8120.

    http://hal.inria.fr/hal-00746271
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    Mémoire sur les formes bilinéaires, in: Journal de mathématiques pures et appliquées 2e série, tome 19, 1874, pp. 35-54.
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