Utilizing Energy-Quality Trade-Off for Low-Cost ML-Based Compressive Sensing Reconstruction.
Hyunsung KimYoungjoo LeePublished in: ACSCC (2021)
Keyphrases
- compressive sensing
- trade off
- low cost
- signal reconstruction
- image recovery
- random projections
- sparse representation
- compressive sampling
- image representation
- signal processing
- sparse reconstruction
- distributed source coding
- high quality
- compressed sensing
- image reconstruction
- maximum likelihood
- object recognition
- pattern recognition