Behavior-Level Analysis of a Successive Stochastic Approximation Analog-to-Digital Conversion System for Multi-Channel Biomedical Data Acquisition
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- TANI Sadahiro
- Graduate School of Engineering, Osaka University
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- MATSUOKA Toshimasa
- Graduate School of Engineering, Osaka University
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- HIRAI Yusaku
- Graduate School of Engineering, Osaka University
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- KURATA Toshifumi
- Graduate School of Engineering, Osaka University
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- TATSUMI Keiji
- Graduate School of Engineering, Osaka University
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- ASANO Tomohiro
- Graduate School of Engineering, Osaka University
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- UEDA Masayuki
- SPChange, LLC.
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- KAMATA Takatsugu
- SPChange, LLC.
抄録
<p>In the present paper, we propose a novel high-resolution analog-to-digital converter (ADC) for low-power biomedical analog front-ends, 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-approximation-register 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.</p>
収録刊行物
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- IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
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IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E100.A (10), 2073-2085, 2017
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詳細情報
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- CRID
- 1390001206312059008
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- NII論文ID
- 130006109902
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- ISSN
- 17451337
- 09168508
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- HANDLE
- 11094/65064
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- IRDB
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可