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INK-SVD: Learning incoherent dictionaries for sparse representations
This work considers the problem of learning an incoherent dictionary that is both adapted to a set of training data and incoherent so that existing sparse approximation algorithms can recover the sparsest representation. ...
Sound Source Separation
(John Wiley & Sons, 2011)