A Multiscale Feature Extraction Network Based on Channel-Spatial Attention for Electromyographic Signal Classification.
Biao SunBeida SongJiajun LvPeiyin ChenXinlin SunChao MaZhongke GaoPublished in: IEEE Trans. Cogn. Dev. Syst. (2023)
Keyphrases
- multiscale
- feature extraction
- wavelet transform
- image processing
- spatio temporal
- image classification
- dimension reduction
- feature vectors
- scale space
- multi channel
- image segmentation
- spatial information
- spatial data
- pattern classification
- spatial databases
- extracted features
- frequency domain
- natural images
- preprocessing
- edge detection
- face recognition
- filter bank
- spatial and temporal
- discriminant analysis
- visual attention
- local binary pattern
- wireless sensor networks
- multiple access
- channel coding
- spatial distribution
- video sequences
- image fusion
- wavelet domain
- pattern recognition
- texture features
- principal component analysis
- remote sensing
- feature selection
- support vector machine svm