| LDR | | 00000nmm u2200205 4500 |
| 001 | | 000000332443 |
| 005 | | 20241202154352 |
| 008 | | 181129s2018 ||| | | | eng d |
| 020 | |
▼a 9780438031326 |
| 035 | |
▼a (MiAaPQ)AAI10786396 |
| 035 | |
▼a (MiAaPQ)umn:19072 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 049 | 1 |
▼f DP |
| 082 | 0 |
▼a 621.3 |
| 100 | 1 |
▼a Wang, Gang. |
| 245 | 10 |
▼a Non-convex Phase Retrieval Algorithms and Performance Analysis. |
| 260 | |
▼a [S.l.] :
▼b University of Minnesota.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 162 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Georgios B. Giannakis. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Minnesota, 2018. |
| 520 | |
▼a High-dimensional signal estimation plays a fundamental role in various science and engineering applications, including optical and medical imaging, wireless communications, and power system monitoring. The ability to devise solution procedures t |
| 520 | |
▼a Phase retrieval is approached from a non-convex optimization perspective. To gain statistical and computational efficiency, the magnitude data (instead of the intensities) are fitted based on the least-squares or maximum likelihood criterion, wh |
| 520 | |
▼a Sparsity plays a instrumental role in many scientific fields - what has led to the upsurge of research referred to as compressive sampling. In diverse applications, the signal is naturally sparse or admits a sparse representation after some know |
| 590 | |
▼a School code: 0130. |
| 650 | 4 |
▼a Electrical engineering. |
| 650 | 4 |
▼a Statistics. |
| 650 | 4 |
▼a Computer engineering. |
| 690 | |
▼a 0544 |
| 690 | |
▼a 0463 |
| 690 | |
▼a 0464 |
| 710 | 20 |
▼a University of Minnesota.
▼b Electrical Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0130 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997351
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자
▼b 관리자 |