High-Resolution ADCs for Biomedical Imaging Systems

Fan, H., Wu, X., Zhang, T., Feng, Q., Feng, L., Li, D., Zhang, K., Hu, D., Cen, Y. and Heidari, H. (2018) High-Resolution ADCs for Biomedical Imaging Systems. In: 2018 New Generation of CAS (NGCAS), Valletta, Malta, 20-23 Nov 2018, pp. 150-153. ISBN 9781538676813 (doi:10.1109/NGCAS.2018.8572126)

Fan, H., Wu, X., Zhang, T., Feng, Q., Feng, L., Li, D., Zhang, K., Hu, D., Cen, Y. and Heidari, H. (2018) High-Resolution ADCs for Biomedical Imaging Systems. In: 2018 New Generation of CAS (NGCAS), Valletta, Malta, 20-23 Nov 2018, pp. 150-153. ISBN 9781538676813 (doi:10.1109/NGCAS.2018.8572126)

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Abstract

With the rapid development of biomedical imaging systems, the requirement of the accuracy of an Analog-to-Digital Converter (ADC) becomes more and more critical. Traditional Nyquist-rate analog to digital data converters cannot meet the requirement any more. Sigma-Delta analog to digital data converter, which makes a trade-off between speed and accuracy, can achieve an ideal accuracy by employing the oversampling and noise-shaping technology. In this work, a Verilog-AMS model for sigma-delta modulator is built, including the topologic, the order of stage, oversampling rate, system parameters, etc. On the basic of theoretical analysis and scientific flow path, finally, a third-order 1-bit sigma-delta modulator is designed and optimized, whose performance agrees well with the theoretical module.

Item Type:Conference Proceedings
Additional Information:The work of Hua Fan was supported by the National Natural Science Foundation of China (NSFC) under Grant 61771111, as well as supported by China Postdoctoral Science Foundation under grant 2017M612940 and Special Foundation of Sichuan Provincial Postdoctoral Science Foundation. The work of Quanyuan Feng was supported by the National Natural Science Foundation of China (NSFC) under Grant 61531016, supported by the project of Science and Technology Support Program of Sichuan Province under Grant 2018GZ0139, and in part by the Sichuan Provincial Science and Technology Important Projects under Grant 2017GZ0110.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Heidari, Dr Hadi
Authors: Fan, H., Wu, X., Zhang, T., Feng, Q., Feng, L., Li, D., Zhang, K., Hu, D., Cen, Y., and Heidari, H.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
ISBN:9781538676813

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