상세정보
Export to Refworks부가기능
Contributions to Distributed Detection and Estimation over Sensor Networks
상세 프로파일
| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Contributions to Distributed Detection and Estimation over Sensor Networks. |
| 개인저자 | Whipps, Gene Thomas. |
| 단체저자명 | The Ohio State University. Electrical and Computer Engineering. |
| 발행사항 | [S.l.]: The Ohio State University., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 138 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
| ISBN | 9780438098220 |
| 학위논문주기 | Thesis (Ph.D.)--The Ohio State University, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Advisers: Randolph Moses |
| 요약 | Wireless sensor networks have matured over the last several years from popular research and development platforms to commercially-available sensors and systems. In many applications, wireless sensor networks have size, weight, power, and cost li |
| 요약 | First, we consider the problem of distributed detection from a large network of sensors and introduce a realistic network model. Sensor nodes make individual decisions from their local observation and then communicate these decisions through a s |
| 요약 | Second, we study the problem of distributed quickest change detection from a network of sensors. Similar to the first part, sensor nodes communicate information to a central decision node, but in this part the central node continues to collect i |
| 요약 | Finally, we address decentralized learning of an object appearance manifold. Sensor nodes observe an object from different aspects and then, in a decentralized manner, learn a joint statistical model for that object. We employ a mixture of facto |
| 일반주제명 | Electrical engineering. Statistics. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
