The Optimal Wavelet Basis Function Selection in Feature Extraction of Motor Imagery Electroencephalogram Based on Wavelet Packet Transformation.
Liwei ChengDuanling LiXiang LiShuyue YuPublished in: IEEE Access (2019)
Keyphrases
- wavelet packet
- basis functions
- motor imagery
- wavelet transform
- feature extraction
- wavelet packet transform
- frequency band
- brain computer interface
- wavelet function
- denoising
- filter bank
- linear combination
- subband
- wavelet decomposition
- eeg signals
- wavelet packet decomposition
- feature vectors
- image compression
- multiresolution
- lifting scheme
- image processing
- brain activity
- wavelet transformation
- eeg data
- set of basis functions
- support vector machine svm
- wavelet coefficients
- state space
- radial basis function
- optimal solution
- quadtree
- multiscale
- high frequency
- image coding
- frequency domain
- signal processing
- transfer function
- wavelet domain
- texture analysis
- neural network
- non stationary
- healthy subjects
- small number
- dynamic programming
- artificial neural networks
- pattern recognition
- machine learning