A study on noise reduction using ICA for Magnetoencephalography
暂无分享,去创建一个
[1] Andreas Ziehe,et al. Artifact Reduction in Magnetoneurography Based on Time-Delayed Second Order Correlations , 1998 .
[2] S. Kuriki,et al. Principal component elimination method for the improvement of S/N in evoked neuromagnetic field measurements , 1999, IEEE Transactions on Biomedical Engineering.
[3] K. Sekihara,et al. Maximum-likelihood estimation of current-dipole parameters for data obtained using multichannel magnetometer , 1992, IEEE Transactions on Biomedical Engineering.
[4] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[5] Schuster,et al. Separation of a mixture of independent signals using time delayed correlations. , 1994, Physical review letters.
[6] R. Ilmoniemi,et al. Signal-space projection method for separating MEG or EEG into components , 1997, Medical and Biological Engineering and Computing.