Location-oriented sampling
| dc.contributor.advisor | Orchard, Michael T. | |
| dc.creator | Singh, Prashant | |
| dc.date.accessioned | 2009-06-03T21:06:18Z | |
| dc.date.available | 2009-06-03T21:06:18Z | |
| dc.date.issued | 2007 | |
| dc.description.abstract | In this work we present a sampling scheme that uses feature-location information to compactly represent the data. Traditional Nyquist sampling leverages compact frequency support to form the representation, but it ignores location when doing so. Instead, our location-oriented method (LOM) uses coarse location estimates to allow a reduced-rate representation of fine-scale data. We apply a model of local symmetry to the fine-scale data, motivated by features in natural signals. We present an analysis of the concepts behind LOM as well as performance results on synthetic and natural signals. | |
| dc.format.extent | 47 p. | en_US |
| dc.format.mimetype | application/pdf | |
| dc.identifier.callno | THESIS E.E. 2007 SINGH | |
| dc.identifier.citation | Singh, Prashant. "Location-oriented sampling." (2007) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/20539">https://hdl.handle.net/1911/20539</a>. | |
| dc.identifier.uri | https://hdl.handle.net/1911/20539 | |
| dc.language.iso | eng | |
| dc.rights | Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. | |
| dc.subject | Electronics | |
| dc.subject | Electrical engineering | |
| dc.title | Location-oriented sampling | |
| dc.type | Thesis | |
| dc.type.material | Text | |
| thesis.degree.department | Electrical Engineering | |
| thesis.degree.discipline | Engineering | |
| thesis.degree.grantor | Rice University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science |
Files
Original bundle
1 - 1 of 1