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020 ▼a 9780438344426
035 ▼a (MiAaPQ)AAI10928109
035 ▼a (MiAaPQ)cornellgrad:11051
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 621.3
1001 ▼a Cao, Yingqiu. ▼0 (orcid)0000-0001-6534-8508
24510 ▼a Variation Resolutions for CMOS Sensing Networks.
260 ▼a [S.l.] : ▼b Cornell University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 131 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Edwin Chihchuan Kan.
5021 ▼a Thesis (Ph.D.)--Cornell University, 2018.
520 ▼a 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
520 ▼a 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
520 ▼a 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
590 ▼a School code: 0058.
650 4 ▼a Electrical engineering.
690 ▼a 0544
71020 ▼a Cornell University. ▼b Electrical and Computer Engineering.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0058
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000885 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자