The successive approximation register(SAR)is one of the most energy-efficient analog-to-digital converter(ADC)architecture for medium-resolution applications.However,its high energy efficiency quickly diminishes when ...The successive approximation register(SAR)is one of the most energy-efficient analog-to-digital converter(ADC)architecture for medium-resolution applications.However,its high energy efficiency quickly diminishes when the target resolution increases.This is because a SAR ADC suffers from several major error source,including the sampling kT/C noise,the comparator noise,and the DAC mismatch.These errors are increasing hard to address in high-resolution SAR ADCs.This paper reviews recent advances on error suppression techniques for SAR ADCs,including the sampling kT/C noise reduction,the noise-shaping(NS)SAR,and the mismatch error shaping(MES).These techniques aim to boost the resolution of SAR ADCs while maintaining their superior energy efficiency.展开更多
This paper attempts at an in-depth exploration of lexical mismatching, a pattern of vocabulary errors. In this paper, errors per se were collected from 107 writing samples of Chinese college students, and then investi...This paper attempts at an in-depth exploration of lexical mismatching, a pattern of vocabulary errors. In this paper, errors per se were collected from 107 writing samples of Chinese college students, and then investigated from a variety of linguistic perspectives. Traditional theoretical approaches, i.e. CA and EA, are incorporated in the source analysis for a more comprehensive interpretation. Hopefully, the findings of the study will shed lights on lexical instruction and acquisition in the field of SLA.展开更多
基金supported by National Natural Science Foundation of China(No.61904094,No.61934009)China Postdoctoral Science Foundation(No.2020M670329)Beijing Innovation Center for Future Chips(ICFC).
文摘The successive approximation register(SAR)is one of the most energy-efficient analog-to-digital converter(ADC)architecture for medium-resolution applications.However,its high energy efficiency quickly diminishes when the target resolution increases.This is because a SAR ADC suffers from several major error source,including the sampling kT/C noise,the comparator noise,and the DAC mismatch.These errors are increasing hard to address in high-resolution SAR ADCs.This paper reviews recent advances on error suppression techniques for SAR ADCs,including the sampling kT/C noise reduction,the noise-shaping(NS)SAR,and the mismatch error shaping(MES).These techniques aim to boost the resolution of SAR ADCs while maintaining their superior energy efficiency.
文摘This paper attempts at an in-depth exploration of lexical mismatching, a pattern of vocabulary errors. In this paper, errors per se were collected from 107 writing samples of Chinese college students, and then investigated from a variety of linguistic perspectives. Traditional theoretical approaches, i.e. CA and EA, are incorporated in the source analysis for a more comprehensive interpretation. Hopefully, the findings of the study will shed lights on lexical instruction and acquisition in the field of SLA.
