Energy-efficient Oriented Approximate Quantization Scheme for Fine-Grained Sparse Neural Network Acceleration.
Tianyang YuBi WuKe ChenChenggang YanWeiqiang LiuPublished in: ICCD (2022)
Keyphrases
- fine grained
- energy efficient
- quantization scheme
- wireless sensor networks
- coarse grained
- energy consumption
- sensor networks
- locally adaptive
- compression scheme
- base station
- access control
- matching pursuit
- energy efficiency
- wavelet coefficients
- rate control
- quantization error
- sensor nodes
- bit plane
- sparse representation
- data transmission
- routing protocol
- rate distortion
- video sequences