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Parametric Channel Estimation for Massive MIMO
Channel state information is crucial to achieving the capacity of multi-antenna (MIMO) wireless communication systems. It requires …
Luc Le Magoarou, Stéphane Paquelet
Cite DOI arXiv
Analyzing the approximation error of the fast graph Fourier transform
The graph Fourier transform (GFT) is in general dense and requires O(n2) time to compute and O(n2) memory space to store. In this …
Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
Cite DOI arXiv
Are there approximate fast fourier transforms on graphs?
Signal processing on graphs is a recent research domain that seeks to extend classical signal processing tools such as the Fourier …
Luc Le Magoarou, Rémi Gribonval
Cite DOI hal
FAμST: Speeding up linear transforms for tractable inverse problems
In this paper, we propose a technique to factorize any matrix into multiple sparse factors. The resulting factorization, called …
Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort
Cite DOI Researchgate
Chasing butterflies: In search of efficient dictionaries
Dictionary learning aims at finding a frame (called dictionary) in which some training data admits a sparse representation. Traditional …
Luc Le Magoarou, Rémi Gribonval
Cite DOI hal
Maximum likelihood estimation of clutter subspace in non homogeneous noise context
In the context of a disturbance composed of a Low Rank (LR) clutter plus a white Gaussian noise, the corresponding LR filters used to …
A. Breloy, L. Le Magoarou, G. Ginolhac, F. Pascal, P. Forster
Cite hal
Text-informed audio source separation using nonnegative matrix partial co-factorization
We consider a single-channel source separation problem consisting in separating speech from nonstationary background such as music. We …
Luc Le Magoarou, Alexey Ozerov, Ngoc Q. K. Duong
Cite DOI