Complexity reduction techniques in music-based EEG source localization


Two techniques are proposed to alleviate the computational burden of MUltiple SIgnal Classification (MUSIC) algorithm applied to Electroencephalogram (EEG) source localization. A significant reduction was achieved by parsing the cortex surface into smaller regions and nominating only a few regions for the exhaustive search inherent in the MUSIC algorithm… (More)
DOI: 10.1109/GlobalSIP.2016.7906018


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