WAVEFORM SIGNAL SHAPING USING WAVELET PARAMETERIZATIONS
dc.contributor.author | Moon, Todd K. | |
dc.contributor.author | Noru, Krishna Kishor | |
dc.date.accessioned | 2016-04-29T22:33:17Z | en |
dc.date.available | 2016-04-29T22:33:17Z | en |
dc.date.issued | 2001-10 | en |
dc.identifier.issn | 0884-5123 | en |
dc.identifier.issn | 0074-9079 | en |
dc.identifier.uri | http://hdl.handle.net/10150/607582 | en |
dc.description | International Telemetering Conference Proceedings / October 22-25, 2001 / Riviera Hotel and Convention Center, Las Vegas, Nevada | en_US |
dc.description.abstract | We explore the idea of matching a scaling function - the basic building block of a wavelet function - to a desired spectrum. This would allow the scaling function to be used as the signal pulse for a digital communication system that is matched to the channel, avoiding problems such as energy loss or noise amplification due to spectral nulls. An unconstrained parameterization of the scaling function coefficients represents the scaling functions. This parameterization is adapted using gradient descent. Tests indicate that the adaptation is able to capture major features of a desired spectrum, including spectral nulls and major lobes. | |
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 © International Foundation for Telemetering | en |
dc.subject | Spectrum shaping | en |
dc.subject | wavelets | en |
dc.subject | adaptive spectrum | en |
dc.title | WAVEFORM SIGNAL SHAPING USING WAVELET PARAMETERIZATIONS | en_US |
dc.type | text | en |
dc.type | Proceedings | en |
dc.contributor.department | Utah State University | en |
dc.contributor.department | Sun Microsystems | 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 | 2018-08-14T03:04:53Z | |
html.description.abstract | We explore the idea of matching a scaling function - the basic building block of a wavelet function - to a desired spectrum. This would allow the scaling function to be used as the signal pulse for a digital communication system that is matched to the channel, avoiding problems such as energy loss or noise amplification due to spectral nulls. An unconstrained parameterization of the scaling function coefficients represents the scaling functions. This parameterization is adapted using gradient descent. Tests indicate that the adaptation is able to capture major features of a desired spectrum, including spectral nulls and major lobes. |