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MEG Beamforming using Bayesian PCA for Adaptive Data Covariance Matrix Regularisation
Beamformers are a commonly used method for doing source localisation from magnetoencephalography (MEG) data. A key ingredient in a beamformer is the estimation of the data covariance matrix. When the noise levels are high, or when there is only a small amount of data available, the data covariance m...
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| Publicado no: | Neuroimage |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4894461/ https://ncbi.nlm.nih.gov/pubmed/21620977 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2011.04.041 |
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