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Coding for Future Large-Scale Data Systems
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| 자료유형 | 학위논문 |
|---|---|
| 서명/저자사항 | Coding for Future Large-Scale Data Systems. |
| 개인저자 | Schoeny, Clayton Maxwell. |
| 단체저자명 | University of California, Los Angeles. Electrical Engineering 0303. |
| 발행사항 | [S.l.]: University of California, Los Angeles., 2018. |
| 발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
| 형태사항 | 149 p. |
| 기본자료 저록 | Dissertation Abstracts International 79-10B(E). Dissertation Abstract International |
| ISBN | 9780438023963 |
| 학위논문주기 | Thesis (Ph.D.)--University of California, Los Angeles, 2018. |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Adviser: Lara Dolecek. |
| 요약 | This dissertation is focused on creating mathematical techniques---influenced by information theory and coding theory---to address the difficulties associated with storing, transmitting, and analyzing massive amounts of data. By necessity, memor |
| 요약 | The first part of the dissertation introduces Software-Defined Error-Correcting Codes: a framework for exploiting side-information to heuristically recover from detected (but uncorrectable) errors. The prominent features of this section include |
| 요약 | The coding theoretic techniques presented here, along with tools inspired by this dissertation, will play a significant role in mitigating errors in future large-scale data systems. |
| 일반주제명 | Electrical engineering. |
| 언어 | 영어 |
| 바로가기 | 
: 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
