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Massively Parallel Neural Signal Processing on a Many-Core Platform

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4 Author(s)
Dan Chen ; China Univ. of Geosci., Wuhan, China ; Lizhe Wang ; Gaoxiang Ouyang ; Xiaoli Li

Although the ensemble empirical mode decomposition (EEMD) method and Hilbert-Huang transform (HHT) offer an unrivaled opportunity to understand neural signals, the EEMD algorithm's complexity and neural signals' massive size have hampered EEMD application. However, a new approach using a many-core platform has proven both efficient and effective for massively parallel neural signal processing.

Published in:

Computing in Science & Engineering  (Volume:13 ,  Issue: 6 )