Frequency recognition of steady-state visually evoked potentials using binary subband canonical correlation analysis with reduced dimension of reference signals.
Md. Rabiul IslamToshihisa TanakaMasaki NakanishiMd. Khademul Islam MollaPublished in: ICASSP (2016)
Keyphrases
- steady state
- subband
- canonical correlation analysis
- bandpass
- low frequency
- evoked potentials
- filter bank
- high frequency
- wavelet transform
- image compression
- markov chain
- bit rate
- wavelet coefficients
- frequency domain
- multiresolution
- feature vectors
- low pass
- signal processing
- object recognition
- least squares
- brain computer interface
- frequency band
- partial least squares
- feature extraction
- visual stimuli
- wavelet packet
- pattern recognition
- independent component analysis
- image representation
- computational complexity
- high dimensional
- image registration
- image sequences
- computer vision