CS-Net: An End-to-end Network for Motor Imagery Brain-Machine Interface with Adaptive Channel Selection and Compressed Sensing.
Jie LuGuanghan YuLiyu QianJiacheng CaoLirong ZhengZhuo ZouPublished in: AICAS (2024)
Keyphrases
- end to end
- compressed sensing
- compressive sampling
- packet loss rate
- congestion control
- motor imagery
- image reconstruction
- scalable video
- brain computer interface
- eeg signals
- random projections
- multipath
- signal processing
- natural images
- rate adaptation
- compressive sensing
- brain activity
- sparse representation
- eeg data
- image compression
- image registration
- orthogonal matching pursuit
- computer vision
- multiscale
- face recognition
- image processing