Channel Equalization With Cellular Neural Networks
| gdc.relation.journal | Melecon 2010: The 15th IEEE Mediterranean Electrotechnical Conference | en_US |
| dc.contributor.author | Özmen, Atilla | |
| dc.contributor.author | Tander, Baran | |
| dc.date.accessioned | 2019-06-27T08:05:28Z | |
| dc.date.available | 2019-06-27T08:05:28Z | |
| dc.date.issued | 2010 | |
| dc.description.abstract | In this paper a dynamic neural network structure called Cellular Neural Network (CNN) is employed for the equalization in digital communication. It is shown that this nonlinear system is capable of suppressing the effect of intersymbol interference (ISI) and the noise at the channel. The architecture is a small-scaled simple CNN containing 9 neurons thus having only 19 weight coefficients. Proposed system is compared with linear transversal filters as well as with a Multilayer Perceptron (MLP) based equalizer. | en_US] |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1109/MELCON.2010.5476301 | en_US |
| dc.identifier.isbn | 978-1-4244-5795-3 | |
| dc.identifier.issn | 2158-8481 | en_US |
| dc.identifier.issn | 2158-8481 | |
| dc.identifier.scopus | 2-s2.0-77954301461 | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/1078 | |
| dc.identifier.uri | https://doi.org/10.1109/MELCON.2010.5476301 | |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.ispartof | Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Channel Equalization With Cellular Neural Networks | en_US |
| dc.type | Conference Object | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Özmen, Atilla | en_US |
| gdc.author.institutional | Özmen, Atilla | |
| gdc.author.institutional | Tander, Baran | |
| gdc.bip.impulseclass | C5 | |
| gdc.bip.influenceclass | C5 | |
| gdc.bip.popularityclass | C5 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::conference output | |
| gdc.description.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| gdc.description.endpage | 1599 | |
| gdc.description.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 1597 | en_US |
| gdc.identifier.openalex | W2043577524 | |
| gdc.identifier.wos | WOS:000286988200291 | en_US |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 1.0 | |
| gdc.oaire.influence | 2.8479696E-9 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.keywords | N/A | |
| gdc.oaire.popularity | 5.63128E-10 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.fwci | 0.269 | |
| gdc.openalex.normalizedpercentile | 0.39 | |
| gdc.opencitations.count | 2 | |
| gdc.plumx.crossrefcites | 2 | |
| gdc.plumx.mendeley | 1 | |
| gdc.plumx.scopuscites | 1 | |
| gdc.scopus.citedcount | 1 | |
| gdc.wos.citedcount | 0 | |
| relation.isAuthorOfPublication | cf8f9e05-3f89-4ab6-af78-d0937210fb77 | |
| relation.isAuthorOfPublication | 75e36d40-1e6e-401f-b656-5894d3bd22e9 | |
| relation.isAuthorOfPublication.latestForDiscovery | cf8f9e05-3f89-4ab6-af78-d0937210fb77 | |
| relation.isOrgUnitOfPublication | fd8e65fe-c3b3-4435-9682-6cccb638779c | |
| relation.isOrgUnitOfPublication | 12b0068e-33e6-48db-b92a-a213070c3a8d | |
| relation.isOrgUnitOfPublication | 2457b9b3-3a3f-4c17-8674-7f874f030d96 | |
| relation.isOrgUnitOfPublication | b20623fc-1264-4244-9847-a4729ca7508c | |
| relation.isOrgUnitOfPublication.latestForDiscovery | fd8e65fe-c3b3-4435-9682-6cccb638779c |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Channel equalization with cellular neural networks.pdf
- Size:
- 488.56 KB
- Format:
- Adobe Portable Document Format
- Description: