67 citations · 125 across the 3 of their papers we have counts for
4 papers
Sparsity and adaptivity for the blind separation of partially correlated sources
Jerome Bobin, Jeremy Rapin, Anthony Larue +1
Blind source separation (BSS) is a very popular technique to analyze multichannel data. In this context, the data are modeled as the linear combination of sources to be retrieved.…
NMF with Sparse Regularizations in Transformed Domains
Jérémy Rapin, Jérôme Bobin, Anthony Larue +1
Non-negative blind source separation (non-negative BSS), which is also referred to as non-negative matrix factorization (NMF), is a very active field in domains as different as ast…
Sparse and Non-Negative BSS for Noisy Data
Jérémy Rapin, Jérôme Bobin, Anthony Larue +1
Non-negative blind source separation (BSS) has raised interest in various fields of research, as testified by the wide literature on the topic of non-negative matrix factorization…
Multivariate Temporal Dictionary Learning for EEG
Quentin Barthélemy, Cédric Gouy-Pailler, Yoann Isaac +3
This article addresses the issue of representing electroencephalographic (EEG) signals in an efficient way. While classical approaches use a fixed Gabor dictionary to analyze EEG s…