標題: | Consistent Sparse Representations of EEG ERP and ICA Components Based on Wavelet and Chirplet Dictionaries |
作者: | Qiu, Jun-Wei Zao, John K. Wang, Peng-Hua Chou, Yu-Hsiang 資訊工程學系 Department of Computer Science |
公開日期: | 2010 |
摘要: | a randomized search algorithm for sparse representations of EEG event-related potentials (ERPs) and their statistically independent components is presented. This algorithm combines greedy matching pursuit (MP) technique with covariance matrix adaptation evolution strategy (CMA-ES) to select small number of signal atoms from over-complete wavelet and chirplet dictionaries that offer best approximations of quasi-sparse ERP signals. During the search process, adaptive pruning of signal parameters was used to eliminate redundant or degenerative atoms. As a result, the CMA-ES/MP algorithm is capable of producing accurate efficient and consistent sparse representations of ERP signals and their ICA components. This paper explains the working principles of the algorithm and presents the preliminary results of its use. |
URI: | http://hdl.handle.net/11536/25565 |
ISBN: | 978-1-4244-4124-2 |
ISSN: | 1557-170X |
期刊: | 2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
起始頁: | 4014 |
結束頁: | 4019 |
顯示於類別: | 會議論文 |