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Sampling Rate Distortion
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Sampling Rate Distortion. |
| 개인저자 | Boda, Vinay Praneeth. |
| 단체저자명 | University of Maryland, College Park. Electrical Engineering. |
| 발행사항 | [S.l.]: University of Maryland, College Park., 2017. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2017. |
| 형태사항 | 172 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-11B(E). Dissertation Abstract International |
| ISBN | 9780438139817 |
| 학위논문주기 | Thesis (Ph.D.)--University of Maryland, College Park, 2017. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Adviser: Prakash Narayan. |
| 요약 | Consider a memoryless multiple source with m components of which a (possibly randomized) subset of k &le |
| 요약 | We begin with a discrete memoryless multiple source whose joint probability mass function (pmf) is taken to be known. A notion of sampling rate distortion function is introduced to study the mentioned tradeoffs, and is characterized first for f |
| 요약 | Building on this, we consider a universal setting where the joint pmf of a discrete memoryless multiple source is known only to belong to a finite family of pmfs. In Bayesian and nonBayesian settings, single-letter characterizations are provide |
| 요약 | Lastly, we consider a jointly Gaussian multiple memoryless source, to be reconstructed under a mean-squared error distortion criterion, with joint probability distribution function known only to belong to an uncountable family of probability de |
| 요약 | The questions addressed in this dissertation are motivated by various applications, e.g., dynamic thermal management for multicore processors, in-network computation and satellite imaging. |
| 일반주제명 | Engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
