Blind Separation of Sources with Sparse Representations in a given Signal Dictionary

  title={Blind Separation of Sources with Sparse Representations in a given Signal Dictionary},
  author={Zibulevsky and Barak A. Pearlmutter},
The blind sour e separation problem is to extra t the underlying sour e signals from a set of linear mixtures, where the mixing matrix is unknown. We onsider a two-stage separation pro ess. First, a priori sele tion of a possibly over omplete signal di tionary (e.g. wavelet frame, learned di tionary, et .) in whi h the sour es are assumed to be sparsely representable. Se ond, unmixing the sour es by exploiting the their sparse representability. We onsider the general ase of more sour es than… CONTINUE READING
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