Reducing Power Consumption in LNA by Utilizing EEG Signals as Basis Matrix in Compressed Sensing.
Riku MatsubaraDaisuke KanemotoTetsuya HirosePublished in: ISCAS (2024)
Keyphrases
- power consumption
- compressed sensing
- eeg signals
- signal processing
- image reconstruction
- power reduction
- low power
- power saving
- power management
- natural images
- sparse representation
- battery life
- random projections
- brain computer interface
- singular value decomposition
- low cost
- peak load
- data sets
- feature extraction
- face recognition