Pattern Classification Using Quantized Neural Networks for FPGA-Based Low-Power IoT Devices.
Manas Ranjan BiswalTahesin Samira DelwarAbrar SiddiquePrangyadarsini BeheraYeji ChoiJee-Youl RyuPublished in: Sensors (2022)
Keyphrases
- super resolution
- pattern classification
- low power
- neural network
- low power consumption
- pattern classification problems
- pattern recognition
- low cost
- power consumption
- high speed
- embedded systems
- radial basis function neural network
- fuzzy classifier
- single chip
- application specific
- motion estimation
- feature extraction
- nearest neighbor rule
- mobile devices
- digital signal processing
- vlsi architecture
- artificial neural networks
- high power
- smart phones
- field programmable gate array
- back propagation
- logic circuits
- mixed signal
- cloud computing
- hidden layer
- cmos technology
- location information
- power reduction
- gate array
- self organizing maps
- sparse representation
- decision trees
- machine learning