A 0.7 V low-power fully programmable Gaussian function generator for brain-inspired Gaussian correlation associative memory.
Fei LiChip-Hong ChangArindam BasuLiter SiekPublished in: Neurocomputing (2014)
Keyphrases
- gaussian function
- low power
- associative memory
- low cost
- single chip
- signal processor
- high speed
- power consumption
- wavelet analysis
- kohonen feature map
- neural network
- real time
- vlsi circuits
- low power consumption
- vlsi architecture
- cmos technology
- human brain
- digital signal processing
- logic circuits
- general purpose
- feature extraction
- multiresolution
- data mining
- mixed signal
- neural network model
- kernel methods
- machine learning
- power dissipation
- image enhancement
- vlsi implementation
- power reduction