@inproceedings{a769e561d257421ca439bc4a57eb52ed,
title = "ADC design for neural acquisition application",
abstract = "A high precision sigma delta analog to digital convertor (SDADC) for neural signal acquisition application is presented in this paper, which has been fabricated in AMI 0.5 um standard CMOS process. The ADC achieves 85 dB SNR in a second older with 256 oversampling rate (OSR) architecture. Behavior level modeling is adopted to shorten the design cycle and provide reference specifications for circuits design. In circuit design, class-AB output structure ensures the enough output range and slew rate of the system requirement. The whole system consumes 0.7 mA current and occupies 0.9*0.5 mm2 area.",
keywords = "Behavior modeling, Comparator, Integrator, Matlab, Neural acquisition, SDADC",
author = "Ruoyuan Qu and Zhe Guo and Na Liu and Yueyang Chen and Xinghua Wang",
year = "2013",
doi = "10.1007/978-94-007-6516-0\_68",
language = "English",
isbn = "9789400765153",
series = "Lecture Notes in Electrical Engineering",
pages = "607--614",
booktitle = "Future Information Communication Technology and Applications, ICFICE 2013",
note = "2013 International Conference on Future Information and Communication Engineering, ICFICE 2013 ; Conference date: 24-06-2013 Through 26-06-2013",
}