Joint Cumulant and Correlation Based Signal Separation with Application to Eeg Data Analysis �

@inproceedings{Gorodnitsky2001JointCA,
  title={Joint Cumulant and Correlation Based Signal Separation with Application to Eeg Data Analysis �},
  author={Irina F. Gorodnitsky and Adel Belouchrani},
  year={2001}
}
Current methods in Blind Source Separation (BSS) utilize either the higher order statistics or the time delayed crosscorrelations to perform signal separation. In this paper we investigate a method for source separation which utilizes joint information from higher order statistics and delayed cross-correlations. The algorithm is motivated by problems in analysis of Electroencephalography (EEG) data. We use an EEG analysis example to demonstrate that the Joint Cumulant and Correlation based (JCC… CONTINUE READING
12 Citations
5 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

Similar Papers

Loading similar papers…