Title: A/D Converter Architectures for Energy-Efficient Vision Processor,
Abstract: AI applications have emerged in current world. Among AI applications,
computer-vision (CV) related applications have attracted high interest.
Hardware implementation of CV processors necessitates a high performance but
low-power image detector. The key to energy-efficiency work lies in
analog-digital converting, where output of imaging detectors is transferred to
digital domain and CV algorithms can be performed on data. In this paper,
analog-digital converter architectures are compared, and an example ADC design
is proposed which achieves both good performance and low power consumption.