Publisher
Springer Berlin Heidelberg
Reference14 articles.
1. Winter, S., Sawada, H., Makino, S.: On real and complex valued l
1-norm minimization for overcomplete blind source separation. In: Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 86–89. IEEE Computer Society Press, Los Alamitos (2005)
2. Vielva, L., Erdoğmuş, D., Príncipe, J.C.: Underdetermined blind source separation using a probabilistic source sparsity model. In: Proc. Int. Conf. on Independent Component Analysis and Blind Source Separation (ICA), pp. 675–679 (2001)
3. Davies, M.E., Mitianoudis, N.: Simple mixture model for sparse overcomplete ICA. IEE Proceedings on Vision, Image and Signal Processing 151, 35–43 (2004)
4. Févotte, C., Godsill, S.J.: A Bayesian approach for blind separation of sparse sources. IEEE Trans. on Audio, Speech and Language Processing 14, 2174–2188 (2006)
5. Lee, T.W., Lewicki, M.S., Girolami, M.A., Sejnowski, T.J.: Blind source separation of more sources than mixtures using overcomplete representations. IEEE Signal Processing Letters 6, 87–90 (1999)
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