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Number of documents

24

Publications of Luc Le Magoarou


Personal webpage


Journal articles6 documents

  • Luc Le Magoarou. Efficient channel charting via phase-insensitive distance computation. IEEE Wireless Communications Letters, IEEE comsoc, In press. ⟨hal-03208431v2⟩
  • Luc Le Magoarou, Stéphane Paquelet. Channel estimation: unified view of optimal performance and pilot sequences. IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, In press. ⟨hal-02472297v3⟩
  • Luc Le Magoarou. Similarity-based prediction for channel mapping and user positioning. IEEE Communications Letters, Institute of Electrical and Electronics Engineers, In press. ⟨hal-02974852v3⟩
  • Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay. Approximate fast graph Fourier transforms via multi-layer sparse approximations. IEEE transactions on Signal and Information Processing over Networks, IEEE, 2018, 4 (2), pp.407--420. ⟨10.1109/TSIPN.2017.2710619⟩. ⟨hal-01416110v3⟩
  • Luc Le Magoarou, Rémi Gribonval. Flexible Multi-layer Sparse Approximations of Matrices and Applications. IEEE Journal of Selected Topics in Signal Processing, IEEE, 2016, 10 (4), pp.688-700. ⟨10.1109/JSTSP.2016.2543461⟩. ⟨hal-01167948v2⟩
  • Luc Le Magoarou, Alexey Ozerov, Ngoc Duong. Text-informed audio source separation. Example-based approach using non-negative matrix partial co-factorization. Journal of Signal Processing Systems, Springer, 2014, pp.13. ⟨hal-01010602⟩

Conference papers7 documents

  • Vincent Savaux, Luc Le Magoarou. On the Computation of Integrals of Bivariate Gaussian Distribution. IEEE Symposium on Computers and Communications (ISCC), Jul 2020, Rennes, France. ⟨hal-02555869⟩
  • Luc Le Magoarou, Rémi Gribonval. Are There Approximate Fast Fourier Transforms On Graphs? . International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2016, Shanghai, China. ⟨hal-01254108v2⟩
  • Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort. FA$\mu$ST: speeding up linear transforms for tractable inverse problems. European Signal Processing Conference (EUSIPCO), Aug 2015, Nice, France. ⟨hal-01156478⟩
  • Luc Le Magoarou, Rémi Gribonval. Chasing butterflies: In search of efficient dictionaries. International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2015, Brisbane, Australia. ⟨10.1109/ICASSP.2015.7178579⟩. ⟨hal-01104696v2⟩
  • Luc Le Magoarou, Alexey Ozerov, Ngoc Duong. Text-informed audio source separation using nonnegative matrix partial co-factorization. IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), Sep 2013, Southampton, United Kingdom. ⟨hal-00870066⟩
  • Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. Estimation par Maximum de Vraisemblance du sous espace clutter dans un bruit hétérogène rang faible avec application au STAP. GRETSI 2013, Sep 2013, Brest, France. pp.1-4. ⟨hal-00871207⟩
  • Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster. MAXIMUM LIKELIHOOD ESTIMATION OF CLUTTER SUBSPACE IN NON HOMOGENEOUS NOISE CONTEXT. 21st European Signal Processing Conference (EUSIPCO 2013), Sep 2013, Marrakech, Morocco. pp.1-5. ⟨hal-00871219⟩

Documents associated with scientific events2 documents

  • Luc Le Magoarou, Rémi Gribonval. Multi-layer Sparse Matrix Factorization. SPARS 2015 Signal Processing with Adaptive Sparse Structured Representations, Jul 2015, Cambridge, United Kingdom. ⟨hal-01158057⟩
  • Luc Le Magoarou, Rémi Gribonval. Strategies to learn computationally efficient and compact dictionaries. International Traveling Workshop on Interactions between Sparse models and Technology (iTWIST), Aug 2014, Namur, Belgium. ⟨hal-01010766⟩

Preprints, Working Papers, ...8 documents

  • Taha Yassine, Luc Le Magoarou. mpNet: variable depth unfolded neural network for massive MIMO channel estimation. 2020. ⟨hal-02913045v2⟩
  • Luc Le Magoarou, Stéphane Paquelet. Online unsupervised deep unfolding for MIMO channel estimation. 2020. ⟨hal-02557873v4⟩
  • Luc Le Magoarou, Stéphane Paquelet. Performance of MIMO channel estimation with a physical model. 2019. ⟨hal-02022541⟩
  • Luc Le Magoarou, Stéphane Paquelet. Bias-variance tradeoff in MIMO channel estimation. 2018. ⟨hal-01771225v3⟩
  • Luc Le Magoarou, Antoine Le Calvez, Stéphane Paquelet. Massive MIMO channel estimation taking into account spherical waves. 2018. ⟨hal-01920442v2⟩
  • Matthieu Roy, Stéphane Paquelet, Luc Le Magoarou, Matthieu Crussière. MIMO Channel Hardening: A Physical Model based Analysis. 2018. ⟨hal-01770014⟩
  • Luc Le Magoarou, Stéphane Paquelet. Parametric channel estimation for massive MIMO. 2017. ⟨hal-01620505v3⟩
  • Luc Le Magoarou, Rémi Gribonval. Learning computationally efficient dictionaries and their implementation as fast transforms. 2015. ⟨hal-01010577v3⟩

Theses1 document

  • Luc Le Magoarou. Matrices efficientes pour le traitement du signal et l'apprentissage automatique. Traitement du signal et de l'image [eess.SP]. INSA de Rennes, 2016. Français. ⟨NNT : 2016ISAR0008⟩. ⟨tel-01412558⟩