Demo Data from EDBT 2026 / reviewers in the wild / expert
Fabrizio Conti
dblp:57/11150
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer networks
1 paper |
Physical-layer communications · 92% Cellular and mobile networks · 8% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › channel estimation
adaptive channel estimation |
0.0 | 1 | 1997 | A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997 |
Physical-layer communications
equalization |
0.0 | 1 | 1997 | A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997 |
Physical-layer communications › signal detection › sequence estimation
maximum-likelihood sequence estimation |
0.0 | 1 | 1997 | A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997 |
Cellular and mobile networks › mobile networks
GSM |
0.0 | 1 | 1997 | A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997 |
Physical-layer communications › wireless channel
mobile radio channel |
0.0 | 1 | 1997 | A continuously adaptive MLSE receiver for mobile communications: algorithm and performance · IEEE Trans. Commun. 1997 |
Methods — techniques the papers use, named apart from their topics
viterbi algorithm · 0.0adaptive filtering · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | A continuously adaptive MLSE receiver for mobile communications: algorithm and performanceabstractThe paper presents a Euclidean distance maximum likelihood sequence estimation (MLSE) receiver, based on the Viterbi algorithm (VA), suitable for fading and noisy communications channels, as that specified by the Group Special Mobiles (GSM). In a mobile cellular system, the fast varying channel characteristics, due to the fading and Doppler effects, require adaptive methods to update the channel coefficients to the MLSE receiver. The proposed technique continuously estimates the channel characteristics directly within the metric calculation of the VA. At each step of the VA, the sequence associated to the path with the best metric value (minimum-survivor method) among the survivor paths is used to update the channel estimate (employing conventional adaptive algorithms) throughout the entire informative sequence. However, the detection of the transmitted data sequence is performed by the VA only at the end of each burst. The proposed technique allows simpler receiver implementation and the simulation results show a good performance of this adaptive MLSE receiver in typical GSM environments. Guido Castellini, Fabrizio Conti, Enrico Del Re, Laura Pierucci |
IEEE Trans. Commun. | 2 |
| 1992 | A within-burst adaptive MLSE receiver for mobile TDMA cellular systemsabstractA simplified structure concerning the implementation of an adaptive digital receiver suitable for the pan-European cellular system Group Special Mobile (GSM) is described. In the GSM system, the performance of the received information is strongly affected by the multipath typical of the mobile communications channel. The proposed maximum-likelihood sequence estimation (MLSE) receiver based on the Viterbi algorithm compensates for selective distortion due to the multipath propagation and Doppler shift also in the case of fast channel variations using an adaptive tracking mode method.> Enrico Del Re, Guido Castellini, Laura Pierucci, Fabrizio Conti |
ICASSP | 4 |