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System-on-a-chip design of a low-power smart vision system
Wai-Chi Fang
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Corresponding author for this work
Institute of Electronics
Research output
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Contribution to conference
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Paper
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peer-review
7
Scopus citations
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Keyphrases
Low Power
100%
On-a-chip
100%
Smart Vision System
100%
Smart Imagers
66%
High Performance
33%
On chip
33%
Neural Network
33%
CMOS Technology
33%
Recent Advances
33%
Submicron
33%
Computing Power
33%
Throughput Rate
33%
Real-time Vision
33%
Fast Learning
33%
Learning Systems
33%
Learnability
33%
Whole Systems
33%
High Data Throughput
33%
Microcomputer
33%
Massively Parallel Computation
33%
Smart Sensors
33%
Highly Integrated
33%
Chip Design
33%
Active pixel
33%
VLSI Technology
33%
Processing Design
33%
Sensor Function
33%
Military
33%
Vision Application
33%
Machine Vision Application
33%
Integrated Sensing
33%
Parallel Vision
33%
Scientific Missions
33%
Computer Science
Vision Systems
100%
System on a Chip
100%
Neural Network
33%
Computing Power
33%
Throughput Data
33%
Microcomputer
33%
Massively Parallel Computing
33%
Machine Vision Application
33%
Electronic Design
33%
Engineering
Smart Sensors
100%
Computing Power
100%
Electronic Design
100%
Parallel Computer
100%
Chemical Engineering
Neural Network
100%