A filtering approach to underdetermined blind source separation with application to temporomandibular disorders
This paper addresses the underdetermined blind source separation problem, using a filtering approach. We have developed an extension of the FastICA algorithm which exploits the disparity in the kurtoses of the underlying sources to estimate the mixing matrix and thereafter the recovery of the source...
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Main Authors: | , , |
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Format: | Default Conference proceeding |
Published: |
2006
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/5564 |
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