| dc.contributor.advisor | Samuel Madden. | en_US |
| dc.contributor.author | Tokmouline, Timur | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2007-04-03T17:12:09Z | |
| dc.date.available | 2007-04-03T17:12:09Z | |
| dc.date.copyright | 2006 | en_US |
| dc.date.issued | 2006 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/37106 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006. | en_US |
| dc.description | Includes bibliographical references (p. 115-117). | en_US |
| dc.description.abstract | In this thesis, we develop SignalDB, a framework for composing signal processing applications from primitive stream and signal processing operators. SignalDB allows the user to focus on the signal processing task and avoid needlessly spending time on learning a particular application programming interface (API). We use SignalDB to express acoustic and pressure transient methods for water pipeline monitoring as query plans consisting of signal processing operators. | en_US |
| dc.description.statementofresponsibility | by Timur Tokmouline. | en_US |
| dc.format.extent | 117 p. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | A signal oriented stream processing system for pipeline monitoring | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 85480121 | en_US |
