Feasibility of RFID signal denoising using neural network
| dc.contributor.author | Vojtěch, Lukáš | |
| dc.date.accessioned | 2011-02-09T11:50:39Z | |
| dc.date.available | 2011-02-09T11:50:39Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | Radio Frequency Identification signal denoising can be a perspective method for the future intelligent Radio Frequency Identification readers with high reading distances capability. This paper deals with the Group Method of Data Handling neural network denoising filter experiments. Capability of the probability learning of the Group Method of Data Handling filters is an effective instrument in more exacting applications in comparison with classical Finite Impulse Response filters. Results show that the realized experiment can be a perspective method for Radio Frequency Identification signal processing. | en |
| dc.format.extent | 161111 bytes | cs |
| dc.format.mimetype | application/pdf | cs |
| dc.identifier.citation | Advances in electrical and electronic engineering. 2010, vol. 8, no. 5, p. 111-113. | en |
| dc.identifier.issn | 1804-3119 | |
| dc.identifier.uri | http://hdl.handle.net/10084/84191 | |
| dc.language.iso | en | en |
| dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | en |
| dc.relation.ispartofseries | Advances in electrical and electronic engineering | en |
| dc.relation.uri | http://advances.utc.sk/index.php/AEEE | en |
| dc.rights | Creative Commons Attribution 3.0 Unported (CC BY 3.0) | |
| dc.rights | © Vysoká škola báňská - Technická univerzita Ostrava | |
| dc.rights.access | openAccess | |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | |
| dc.title | Feasibility of RFID signal denoising using neural network | en |
| dc.type | article | en |
| dc.type.status | Peer-reviewed | cs |
| dc.type.version | publishedVersion | cs |