A convex geometry based blind source separation method for separating nonnegative sources
This paper presents a convex geometry (CG)-based method for blind separation of nonnegative sources. First, the unaccessible source matrix is normalized to be column-sum-to-one by mapping the available observation matrix. Then, its zero-samples are found by searching the facets of the convex hullspa...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Institute of Electrical and Electronics Engineers
2014
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/46397 |