Quantization for Signal Detection and Representation
| dc.contributor.author | Kassam, Saleem A. | |
| dc.date.accessioned | 2016-05-19T22:50:18Z | |
| dc.date.available | 2016-05-19T22:50:18Z | |
| dc.date.issued | 1978-11 | |
| dc.identifier.issn | 0884-5123 | |
| dc.identifier.issn | 0074-9079 | |
| dc.identifier.uri | http://hdl.handle.net/10150/609986 | |
| dc.description | International Telemetering Conference Proceedings / November 14-16, 1978 / Hyatt House Hotel, Los Angeles, California | en_US |
| dc.description.abstract | For digital representation of analog data the minimum mean-squared-error criterion is commonly used as a criterion for the basis of optimum quantizer design. In this paper we show that in some situations measures other than the minimum mean-squared-error may be more appropriate. For the signal representation problem, it is shown that the mean-absolute-error criterion has theoretical justification, as again for some signal detection problems it is shown that the mean-squared-error criterion is not the most appropriate criterion. | |
| 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.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.title | Quantization for Signal Detection and Representation | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | University of Pennsylvania | 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 | 2018-08-19T13:32:15Z | |
| html.description.abstract | For digital representation of analog data the minimum mean-squared-error criterion is commonly used as a criterion for the basis of optimum quantizer design. In this paper we show that in some situations measures other than the minimum mean-squared-error may be more appropriate. For the signal representation problem, it is shown that the mean-absolute-error criterion has theoretical justification, as again for some signal detection problems it is shown that the mean-squared-error criterion is not the most appropriate criterion. |
