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Variation Resolutions for CMOS Sensing Networks
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Variation Resolutions for CMOS Sensing Networks. |
| 개인저자 | Cao, Yingqiu. |
| 단체저자명 | Cornell University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: Cornell University., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 131 p. |
| 기본자료 저록 | Dissertation Abstracts International 80-01B(E). Dissertation Abstract International |
| ISBN | 9780438344426 |
| 학위논문주기 | Thesis (Ph.D.)--Cornell University, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
Adviser: Edwin Chihchuan Kan. |
| 요약 | Variation and variability have become the main concerns for reliable design methodology in CMOS sensing networks. On one hand, the variation can originate from the sensor tag itself, where the performance can be compromised by the uncontrollable |
| 요약 | On the other hand, the sensing variation can originate from the targeted biological sensing signal, which complicates both the sensor system design and the associated signal analysis. We will illustrate a spike-sorting method to reliably classif |
| 요약 | Although other variation sources can also affect the sensor system design, our approaches of device compensation based on operational feedback and signal tolerance based on time warping are able to give illustrations for sensor designers to succ |
| 일반주제명 | Electrical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
