学術雑誌論文

学術雑誌論文

text

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences. 2017, E100-A(10), p. 2073-2085

Behavior-level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-channel Biomedical Data Acquisition

英語

text

2017-10-01

https://doi.org/10.1587/transfun.e100.a.2073

In the present paper, we propose a novel high-resolution analog-to-digital converter (ADC) for low-power biomedical analog frontends, which we call the successive stochastic approximation ADC. The proposed ADC uses a stochastic flash ADC (SF-ADC) to realize a digitally controlled variable-threshold comparator in a successive-approximationregister ADC (SAR-ADC), which can correct errors originating from the internal digital-to-analog converter in the SAR-ADC. For the residual error after SAR-ADC operation, which can be smaller than thermal noise, the SF-ADC uses the statistical characteristics of noise to achieve high resolution. The SF-ADC output for the residual signal is combined with the SAR-ADC output to obtain high-precision output data using the supervised machine learning method.

Copyright 🄫 2017 The Institute of Electronics, Information and Communication Engineers

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Behavior-level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-channel Biomedical Data Acquisition

英語

2017-10-01

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences

E100-A

10

2073

2085

https://doi.org/10.1587/transfun.e100.a.2073

https://hdl.handle.net/11094/65064