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arXiv · 1703.01681

A/D Converter Architectures for Energy-Efficient Vision Processor

Li Du·Yilei Li
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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.

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Li Du, Yilei Li. 2017-03-21. A/D Converter Architectures for Energy-Efficient Vision Processor. https://arxiv.org/abs/1703.01681

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