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Convex Optimization Methods for System Identification with Applications to Noninvasive Intracranial Pressure Estimation
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Gunn, Cameron Allan. |
| 단체저자명 | University of California, Los Angeles. Electrical Engineering. |
| 서명/저자사항 | Convex Optimization Methods for System Identification with Applications to Noninvasive Intracranial Pressure Estimation. |
| 발행사항 | [S.l.] : University of California, Los Angeles., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 135 p. |
| 소장본 주기 | School code: 0031. |
| ISBN | 9780438058675 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Lieven Vandenberghe. |
| 요약 | After a traumatic brain injury, it is important for some patients' intracranial pressure (ICP) to be measured while they are in intensive care. However, monitoring ICP first requires an invasive surgical procedure, an impediment that has prompte |
| 요약 | Three sets of methods are presented in this dissertation. The first methods mitigate the effect of corruptions in cerebral blood flow velocity signals, which are strong predictors of ICP, but often contain artifacts or sections of missing data. |
| 요약 | The methods are solved using proximal algorithms, a family of first-order convex optimization algorithms, which result in computationally tractable formulations. |
| 일반주제명 | Electrical engineering. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-10B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14999049 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00028362 | 621.3 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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