Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6960198 | Signal Processing | 2014 | 13 Pages |
Abstract
The influence of different parameters on the robustness to outliers of the proposed method is examined by numerical simulations. Applied to clinical electroencephalogram (EEG), ECG and magnetocardiogram (MCG), the proposed method exhibits a significantly higher performance in terms of expected signal shape than classical source separation methods such as Ï CA and FastICA.
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Mohammad Niknazar, Hanna Becker, Bertrand Rivet, Christian Jutten, Pierre Comon,