Blind Nonnegative Source Separation Using Biological Neural Networks
نویسندگان
چکیده
منابع مشابه
Blind Nonnegative Source Separation Using Biological Neural Networks
Blind source separation-the extraction of independent sources from a mixture-is an important problem for both artificial and natural signal processing. Here, we address a special case of this problem when sources (but not the mixing matrix) are known to be nonnegative-for example, due to the physical nature of the sources. We search for the solution to this problem that can be implemented using...
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ژورنال
عنوان ژورنال: Neural Computation
سال: 2017
ISSN: 0899-7667,1530-888X
DOI: 10.1162/neco_a_01007