Abstract
Matching Pursuit with time-frequency dictionaries is generalized into Spatio-Temporal Matching Pursuit (SToMP) and adapted for multiple source localization. Based on the results, SToMP exhibits better results than other spatio-temporal multiple source location methods, that are based on eigenvector decomposition. Real data results of Visual Evoked Potentials source localization, with MRI data constrains and visualization, demonstrate physiological feasible solution of the bioelectric inverse problem. The SToMP decomposition is robust, and can also be used for spatio-temporal inverse filtering.
| Original language | English |
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| Pages | 113-116 |
| Number of pages | 4 |
| State | Published - 1 Dec 1996 |
| Event | Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr Duration: 5 Nov 1996 → 6 Nov 1996 |
Conference
| Conference | Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel |
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| City | Jerusalem, Isr |
| Period | 5/11/96 → 6/11/96 |
ASJC Scopus subject areas
- General Engineering