Brain Signals Localization by Alternating Projections
We present a novel solution to the problem of localization of brain signals. The solution is sequential and iterative, and is based on minimizing the least-squares (LS) criterion by the alternating projection (AP) algorithm, well known in the context of array signal processing. Unlike existing solut...
| Main Authors: | , , |
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| Format: | Technical Report |
| Published: |
Center for Brains, Minds and Machines (CBMM), arXiv
2019
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| Online Access: | https://hdl.handle.net/1721.1/122034 |
| Summary: | We present a novel solution to the problem of localization of brain signals. The solution is sequential and iterative, and is based on minimizing the least-squares (LS) criterion by the alternating projection (AP) algorithm, well known in the context of array signal processing. Unlike existing solutions belonging to the linearly constrained minimum variance (LCMV) and to the multiple-signal classification (MUSIC) families, the algorithm is applicable even in the case of a single sample and in the case of synchronous sources. The performance of the solution is demonstrated via simulations. |
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