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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cichocki, A. Gharieb, R.R. Mourad, N. |
| Copyright Year | 2001 |
| Description | Author affiliation: RIKEN, Brain Sci. Inst., Saitama, Japan (Cichocki, A.) |
| Abstract | A novel approach is proposed for the efficient separation of mixed evoked potentials (EPs) presented simultaneously by different stimuli. We first apply a robust independent component analysis (ICA) approach to the observed sensor signals for the separation of the superimposed EP signals. Next, the desired EP components are estimated by matched-filtering of the separated signals. The impulse response of such a matched filter can be computed based on third-order cumulants of the filter input signal. Therefore, due to the tolerance of the third-order cumulants to both Gaussian and any symmetrically distributed non-Gaussian noise or interference, the filter impulse response will be matched with the desired signal alone. It is demonstrated by extensive computer simulations that applying the cumulant-based ICA and filtering improves dramatically the SNR of the final estimation of the EP components. |
| Sponsorship | IEEE Signal Process. Soc |
| Starting Page | 237 |
| Ending Page | 240 |
| File Size | 393062 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780370112 |
| DOI | 10.1109/SSP.2001.955266 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-08-08 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Independent component analysis Matched filters Filtering Signal to noise ratio Wiener filter Gaussian noise Blind source separation Additive noise Noise robustness Brain modeling |
| Content Type | Text |
| Resource Type | Article |
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