dc.contributor.author | Ζέρβας, Ευάγγελος | el |
dc.contributor.author | Προάκης, Ιωάννης Γ. | el |
dc.contributor.author | Eyuboglu, Vedat M. | en |
dc.date.accessioned | 2015-05-25T11:54:14Z | |
dc.date.issued | 2015-05-25 | |
dc.identifier.uri | http://hdl.handle.net/11400/11118 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | http://spie.org/ | en |
dc.subject | Channel Capacity | |
dc.subject | Mathematical Statistics | |
dc.subject | Blind Equalization | |
dc.subject | Χωρητικότητα καναλιού | |
dc.subject | μαθηματική στατιστική | |
dc.subject | τυφλή εξίσωση | |
dc.title | Effects of constellation shaping on blind equalization | en |
heal.type | conferenceItem | |
heal.classification | Technology | |
heal.classification | Electrical engineering | |
heal.classification | Τεχνολογία | |
heal.classification | Ηλεκτρολογία Μηχανολογία | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh85133147 | |
heal.classificationURI | http://zbw.eu/stw/descriptor/18426-4 | |
heal.classificationURI | **N/A**-Τεχνολογία | |
heal.classificationURI | **N/A**-Ηλεκτρολογία Μηχανολογία | |
heal.identifier.secondary | ISSN: 0277786X | |
heal.dateAvailable | 10000-01-01 | |
heal.language | en | |
heal.access | forever | |
heal.publicationDate | 1991 | |
heal.bibliographicCitation | Zervas, E., Proakis, J.G. & Eyuboglu, V.M. (1991) Effects of constellation shaping on blind equalization, In: Proceedings of SPIE - Adaptive Signal Processing. San Diego, CA, USA. 22-24 July, 1991. [online] 1565. p. 178-187. Available from: http://spie.org/ | en |
heal.abstract | All existing blind equalization algorithms rely on the non-Gaussianity of the input sequence. In recent years, a technique called shaping has been used in data transmission, in order to approach the capacity of Gaussian channels. The transmitted signal then has a Gaussian-like distribution and this will affect blind equalization algorithms. In this paper, we address the problem of blind equalization where the input of the unknown system is a shaped data signal. In particular, we demonstrate the effects of shaping on some of the widely known blind equalization schemes. Our results point to the need for more powerful blind equalization algorithms for shaped signals. | en |
heal.publisher | SPIE | en |
heal.fullTextAvailability | false | |
heal.conferenceName | SPIE - Adaptive Signal Processing | en |
heal.conferenceItemType | poster |
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