Quantifying the Gains of Compressive Sensing for Telemetering Applications
dc.contributor.advisor | Creusere, Charles D. | en |
dc.contributor.author | Davis, Philip | |
dc.date.accessioned | 2016-02-05T16:48:04Z | en |
dc.date.available | 2016-02-05T16:48:04Z | en |
dc.date.issued | 2011-10 | en |
dc.identifier.issn | 0884-5123 | en |
dc.identifier.issn | 0074-9079 | en |
dc.identifier.uri | http://hdl.handle.net/10150/595775 | en |
dc.description | ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada | en_US |
dc.description.abstract | In this paper we study a new streaming Compressive Sensing (CS) technique that aims to replace high speed Analog to Digital Converters (ADC) for certain classes of signals and reduce the artifacts that arise from block processing when conventional CS is applied to continuous signals. We compare the performance of both streaming and block processing methods on several types of signals and quantify the signal reconstruction quality when packet loss is applied to the transmitted sampled data. | |
dc.description.sponsorship | International Foundation for Telemetering | en |
dc.language.iso | en_US | en |
dc.publisher | International Foundation for Telemetering | en |
dc.relation.url | http://www.telemetry.org/ | en |
dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en |
dc.subject | Compressive Sensing | en |
dc.subject | Sparse Signal Reconstruction | en |
dc.title | Quantifying the Gains of Compressive Sensing for Telemetering Applications | en_US |
dc.type | text | en |
dc.type | Proceedings | en |
dc.contributor.department | New Mexico State University | en |
dc.identifier.journal | International Telemetering Conference Proceedings | en |
dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | en |
refterms.dateFOA | 2018-09-11T04:51:27Z | |
html.description.abstract | In this paper we study a new streaming Compressive Sensing (CS) technique that aims to replace high speed Analog to Digital Converters (ADC) for certain classes of signals and reduce the artifacts that arise from block processing when conventional CS is applied to continuous signals. We compare the performance of both streaming and block processing methods on several types of signals and quantify the signal reconstruction quality when packet loss is applied to the transmitted sampled data. |