EEG Cortical Imaging: A Vector Field Approach For Laplacian Denoising And Missing Data Estimation
ContributorsAlecu, Teodor; Voloshynovskyy, Svyatoslav; Pun, Thierry
Presented atArlington (VA), Apr 15-18
Published inIEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI'04), p. 1335-1338
Publication date2004
Abstract
Keywords
- Counting circuits
- Electrodes
- Electroencephalography
- Estimation theory
- Gaussian processes
- Geometry
- Laplace equations
- Noise reduction
- Noise robustness
- Reliability theory
Affiliation entities
Citation (ISO format)
ALECU, Teodor, VOLOSHYNOVSKYY, Svyatoslav, PUN, Thierry. EEG Cortical Imaging: A Vector Field Approach For Laplacian Denoising And Missing Data Estimation. In: IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI′04). Arlington (VA). [s.l.] : [s.n.], 2004. p. 1335–1338. doi: 10.1109/ISBI.2004.1398793
Main files (2)
Proceedings chapter (Published version)
Proceedings chapter (Accepted version)
Identifiers
- PID : unige:47709
- DOI : 10.1109/ISBI.2004.1398793