NMF with Sparse Regularizations in Transformed Domains

29 Jul 2014Jérémy RapinJérôme BobinAnthony LarueJean-Luc Starck

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 astrophysics, audio processing or biomedical signal processing. In this context, the efficient retrieval of the sources requires the use of signal priors such as sparsity... (read more)

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