Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/15702
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Despotovic M. | en |
dc.contributor.author | Šenk, Vojin | en |
dc.contributor.author | Filho B. | en |
dc.contributor.author | Uchoa Filho B. | en |
dc.date.accessioned | 2020-03-03T15:00:59Z | - |
dc.date.available | 2020-03-03T15:00:59Z | - |
dc.date.issued | 1999-01-01 | en |
dc.identifier.isbn | 078035284X | en |
dc.identifier.issn | 15503607 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/15702 | - |
dc.description.abstract | © 1999 IEEE. The performance of maximum-likelihood decoding of trellis codes for moderate-To-high SNR is dictated by their distance spectrum. An improved version of a bidirectional algorithm is used to find cosets of convolutional codes for the EPR4 and EEPR4 channels with best (squared Euclidean) distance spectrum. Results are restricted to the class of totally trellis-matched codes. Distance spectra results for these new optimized codes as well as for some related previously published codes are tabulated. Moreover, we call attention to some codes that were erroneously tabulated in a previous paper. | en |
dc.relation.ispartof | IEEE International Conference on Communications | en |
dc.title | Convolutional codes with optimized distance spectrum for the EPR4 and EEPR4 channels | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1109/ICC.1999.765517 | en |
dc.identifier.scopus | 2-s2.0-0008349788 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/0008349788 | en |
dc.relation.lastpage | 1662 | en |
dc.relation.firstpage | 1658 | en |
dc.relation.volume | 3 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
SCOPUSTM
Citations
4
checked on Nov 20, 2023
Page view(s)
19
Last Week
7
7
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.