Bounded Error Data Compression at Constant Rate
| dc.contributor.author | Gonsalves, Robert A. | |
| dc.contributor.author | Evans, Norman E. | |
| dc.contributor.author | Shea, Alicia | |
| dc.date.accessioned | 2016-05-18T22:50:31Z | |
| dc.date.available | 2016-05-18T22:50:31Z | |
| dc.date.issued | 1978-11 | |
| dc.identifier.issn | 0884-5123 | |
| dc.identifier.issn | 0074-9079 | |
| dc.identifier.uri | http://hdl.handle.net/10150/609764 | |
| dc.description | International Telemetering Conference Proceedings / November 14-16, 1978 / Hyatt House Hotel, Los Angeles, California | en_US |
| dc.description.abstract | We present a technique to compress M-bit data to N-bit data with a bounded error between the original and de-compressed data. The bounded error is established by quantizing the error signal of DPCM and by entropy encoding the quantized error. The fixed data rate is maintained by non-linear adaptation of the quantization interval on an intermittent basis. Examples of image data compression are given. | |
| 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 | Bounded Error Data Compression at Constant Rate | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | EIKONIX Corporation | 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 | 2018-06-29T19:48:14Z | |
| html.description.abstract | We present a technique to compress M-bit data to N-bit data with a bounded error between the original and de-compressed data. The bounded error is established by quantizing the error signal of DPCM and by entropy encoding the quantized error. The fixed data rate is maintained by non-linear adaptation of the quantization interval on an intermittent basis. Examples of image data compression are given. |
