Vigário, Ricardo
Source Separation and Clustering of Phase-Locked Subspaces: Derivations and Proofs
Almeida, Miguel, Schleimer, Jan-Hendrik, Bioucas-Dias, José, Vigário, Ricardo
Due to space limitations, our submission "Source Separation and Clustering of Phase-Locked Subspaces", accepted for publication on the IEEE Transactions on Neural Networks in 2011, presented some results without proof. Those proofs are provided in this paper.
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings
Vigário, Ricardo, Jousmäki, Veikko, Hämäläinen, Matti, Hari, Riitta, Oja, Erkki
We have studied the application of an independent component analysis (ICA) approach to the identification and possible removal of artifacts from a magnetoencephalographic (MEG) recording.
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings
Vigário, Ricardo, Jousmäki, Veikko, Hämäläinen, Matti, Hari, Riitta, Oja, Erkki
We have studied the application of an independent component analysis (ICA) approach to the identification and possible removal of artifacts from a magnetoencephalographic (MEG) recording.
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings
Vigário, Ricardo, Jousmäki, Veikko, Hämäläinen, Matti, Hari, Riitta, Oja, Erkki
We have studied the application of an independent component analysis (ICA) approach to the identification and possible removal of artifacts from a magnetoencephalographic (MEG) recording.