| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000334035 |
| 005 | | 20250124140444 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438058675 |
| 035 | |
▼a (MiAaPQ)AAI10827612 |
| 035 | |
▼a (MiAaPQ)ucla:16922 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Gunn, Cameron Allan. |
| 245 | 10 |
▼a Convex Optimization Methods for System Identification with Applications to Noninvasive Intracranial Pressure Estimation. |
| 260 | |
▼a [S.l.] :
▼b University of California, Los Angeles.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 135 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Lieven Vandenberghe. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, Los Angeles, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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. |
| 520 | |
▼a The methods are solved using proximal algorithms, a family of first-order convex optimization algorithms, which result in computationally tractable formulations. |
| 590 | |
▼a School code: 0031. |
| 650 | 4 |
▼a Electrical engineering. |
| 690 | |
▼a 0544 |
| 710 | 20 |
▼a University of California, Los Angeles.
▼b Electrical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0031 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999049
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 정현우 |