Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise.
Jan C. de MunckHilde M. HuizengaLourens J. WaldorpRob M. HeethaarPublished in: IEEE Trans. Signal Process. (2002)
Keyphrases
- background noise
- eeg data
- independent component analysis
- brain signals
- blind source separation
- brain activity
- non stationary
- speech signal
- low contrast
- brain computer interface
- noisy environments
- eeg signals
- motor imagery
- event related
- human brain
- signal processing
- principal component analysis
- adaptive filtering
- factor analysis
- spectral features
- computer vision
- fully automatic
- image quality
- co occurrence