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Found 3 papers, 3 papers with code
Sparse and Non-Negative BSS for Noisy Data
In this context, it is fundamental that the sources to be estimated present some diversity in order to be efficiently retrieved.
NMF with Sparse Regularizations in Transformed Domains
In this article, we show how a sparse NMF algorithm coined non-negative generalized morphological component analysis (nGMCA) can be extended to impose non-negativity in the direct domain along with sparsity in a transformed domain, with both analysis and synthesis formulations.
Sparsity and adaptivity for the blind separation of partially correlated sources
Blind source separation (BSS) is a very popular technique to analyze multichannel data.
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