Sparsity and Morphological Diversity in Blind Source Separation
نویسندگان
چکیده
منابع مشابه
Morphological Diversity and Sparsity in Blind Source Separation
This paper describes a new blind source separation method for instantaneous linear mixtures. This new method coined GMCA (Generalized Morphological Component Analysis) relies on morphological diversity. It provides new insights on the use of sparsity for blind source separation in a noisy environment. GMCA takes advantage of the sparse representation of structured data in large overcomplete sig...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2007
ISSN: 1057-7149
DOI: 10.1109/tip.2007.906256