Robust blind separation of sparse sources based on morphological diversity and low-rank matrix recovery
Author:
Affiliation:
1. Beihang University,LMIB, School of Mathematical Sciences,Beijing,P. R. China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9695521/9695500/09695858.pdf?arnumber=9695858
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5. Sparsity and morphological diversity in blind source separation;bobin;IEEE Transactions on Image Processing,2007
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