Matches in UGent Biblio for { <https://biblio.ugent.be/publication/193358#aggregation> ?p ?o. }
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- aggregation classification "A1".
- aggregation creator B123757.
- aggregation creator person.
- aggregation date "1995".
- aggregation hasFormat 193358.bibtex.
- aggregation hasFormat 193358.csv.
- aggregation hasFormat 193358.dc.
- aggregation hasFormat 193358.didl.
- aggregation hasFormat 193358.doc.
- aggregation hasFormat 193358.json.
- aggregation hasFormat 193358.mets.
- aggregation hasFormat 193358.mods.
- aggregation hasFormat 193358.rdf.
- aggregation hasFormat 193358.ris.
- aggregation hasFormat 193358.txt.
- aggregation hasFormat 193358.xls.
- aggregation hasFormat 193358.yaml.
- aggregation isPartOf urn:issn:0090-6778.
- aggregation language "eng".
- aggregation subject "Technology and Engineering".
- aggregation title "PSK symbol synchronization performance of ML-oriented data-aided algorithms for nonselective fading channels".
- aggregation abstract "Two maximum-likelihood (ML)-oriented data-aided (DA) symbol synchronisation algorithms are investigated in this paper. They operate on a noisy M-PSK signal (M > 2) transmitted over a slowly time-varying nonselective Rician fading channel. The first algorithm is channel-aided (CA): it makes use of an estimate of the instantaneous channel gain. The second algorithm is nonchannel-aided (NCA): timing is acquired independently of the channel gain estimation. Both algorithms operate either with a known training sequence or in a decision-directed mode, and are suitable for fully digital implementation. We And that the CA algorithm yields a smaller tracking error variance than the NCA algorithm, but the difference in performance decreases with increasing carrier-to-multipath (C/M) ratio.".
- aggregation authorList BK317967.
- aggregation endPage "772".
- aggregation issue "2-4".
- aggregation startPage "767".
- aggregation volume "43".
- aggregation isDescribedBy 193358.
- aggregation similarTo 26.380239.
- aggregation similarTo LU-193358.