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.
@article{arxiv.1703.01681,
title = {A/D Converter Architectures for Energy-Efficient Vision Processor},
author = {Li Du and Yilei Li},
journal= {arXiv preprint arXiv:1703.01681},
year = {2017}
}
Comments
arXiv admin note: substantial text overlap with arXiv:1701.08877