Matches in UGent Biblio for { <https://biblio.ugent.be/publication/193359#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B120661.
- aggregation creator person.
- aggregation date "1995".
- aggregation hasFormat 193359.bibtex.
- aggregation hasFormat 193359.csv.
- aggregation hasFormat 193359.dc.
- aggregation hasFormat 193359.didl.
- aggregation hasFormat 193359.doc.
- aggregation hasFormat 193359.json.
- aggregation hasFormat 193359.mets.
- aggregation hasFormat 193359.mods.
- aggregation hasFormat 193359.rdf.
- aggregation hasFormat 193359.ris.
- aggregation hasFormat 193359.txt.
- aggregation hasFormat 193359.xls.
- aggregation hasFormat 193359.yaml.
- aggregation isPartOf urn:issn:0090-6778.
- aggregation language "eng".
- aggregation subject "Technology and Engineering".
- aggregation title "Tracking performance of ML-oriented NDA symbol synchronizers for nonselective fading channels".
- aggregation abstract "In this paper we investigate the tracking performance of two maximum-likelihood (ML)-oriented nondecision-aided (NDA) symbol synchronication algorithms, operating on a noisy M-PSK signal (M > 2) transmitted over a time-varying nonselective Rician fading channel. The first algorithm is nonchannel-aided (NCA): timing is acquired independently of the channel gain estimation. The second algorithm is channel-aided (CA): it makes use of (an estimate of) the instantaneous channel gain. As the channel gain estimator requires timing information, use of the CA algorithm implies that the timing and the channel gain must be acquired jointly. Both algorithms are suitable for fully digital implementation, and have a similar complexity. For E(s)/N-O values of practical interest, we show that the NCA algorithm is to be preferred over the CA algorithm.".
- aggregation authorList BK310029.
- aggregation endPage "1184".
- aggregation issue "2-4".
- aggregation startPage "1179".
- aggregation volume "43".
- aggregation isDescribedBy 193359.
- aggregation similarTo 26.380150.
- aggregation similarTo LU-193359.