Demo Data from EDBT 2026 / reviewers in the wild / expert
Göran Lindell
dblp:94/4574
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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.
| Theoretical computer science
2 papers |
Coding theory · 91% Information theory · 9% | |
| Computer networks
2 papers |
Physical-layer communications · 100% |
Topics — the 8 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › modulation
continuous phase modulation |
0.0 | 2 | 1988 | An upper bound on the bit error probability of combined convolutional coding and continuous phase modulation · IEEE Trans. Inf. Theory 1988 Minimum Euclidean distance for combinations of short rate 1/2 convolutional codes and CPFSK modulation · IEEE Trans. Inf. Theory 1984 |
Coding theory › error-correcting codes
convolutional codes |
0.0 | 2 | 1988 | An upper bound on the bit error probability of combined convolutional coding and continuous phase modulation · IEEE Trans. Inf. Theory 1988 Minimum Euclidean distance for combinations of short rate 1/2 convolutional codes and CPFSK modulation · IEEE Trans. Inf. Theory 1984 |
Physical-layer communications › modulation › continuous phase modulation
coded CPM |
0.0 | 1 | 1988 | An upper bound on the bit error probability of combined convolutional coding and continuous phase modulation · IEEE Trans. Inf. Theory 1988 |
Coding theory › error-correcting codes › error probability analysis
bit-error probability |
0.0 | 1 | 1988 | An upper bound on the bit error probability of combined convolutional coding and continuous phase modulation · IEEE Trans. Inf. Theory 1988 |
Coding theory
upper bounds |
0.0 | 1 | 1988 | An upper bound on the bit error probability of combined convolutional coding and continuous phase modulation · IEEE Trans. Inf. Theory 1988 |
Coding theory › error-correcting codes › coded modulation
continuous phase frequency-shift keying |
0.0 | 1 | 1984 | Minimum Euclidean distance for combinations of short rate 1/2 convolutional codes and CPFSK modulation · IEEE Trans. Inf. Theory 1984 |
Coding theory › minimum distance problem
minimum euclidean distance |
0.0 | 1 | 1984 | Minimum Euclidean distance for combinations of short rate 1/2 convolutional codes and CPFSK modulation · IEEE Trans. Inf. Theory 1984 |
Information theory › channel capacity
gaussian channel |
0.0 | 1 | 1988 | An upper bound on the bit error probability of combined convolutional coding and continuous phase modulation · IEEE Trans. Inf. Theory 1988 |
Methods — techniques the papers use, named apart from their topics
viterbi algorithm · 0.0average generating function technique · 0.0maximum likelihood detection · 0.0euclidean distance calculation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Some exact union bound results for maximum likelihood detection in MIMO systemsabstractIn this paper we investigate some properties of the union bound for a basic MIMO system, assuming uncoded QAM transmission, uncorrelated Rayleigh fading, and maximum likelihood detection. The presented union bound results cover several choices of the number of transmitting and receiving antennas (up to 16). It is also illustrated how the pair-wise error probability approaches the Q( )-function as the number of receiving antennas increases Göran Lindell |
ISIT | 1 |
| 1988 | An upper bound on the bit error probability of combined convolutional coding and continuous phase modulationabstractThe bit error probability properties of signals consisting of convolutional coding combined with partial-response multilevel continuous phase modulation (CPM) are studied. It is assumed that the channel is an additive white Gaussian noise channel and that the receiver performs coherent maximum-likelihood sequence detection by means of the Viterbi algorithm. An upper bound on the bit error probability is derived, using the average generating function technique, and evaluated numerically for a number of coded multilevel full-response CPM schemes. Simulation results are also presented. It is concluded that the free Euclidean distance is the best one-parameter description of the error probability for the considered class of signals for high signal-to-noise ratios. However, the upper bound results show that the free distance alone yields pessimistic bit error probability behavior for some interesting cases.> Göran Lindell, Carl-Erik W. Sundberg |
IEEE Trans. Inf. Theory | 1 |
| 1984 | Minimum Euclidean distance for combinations of short rate 1/2 convolutional codes and CPFSK modulationabstractContinuous phase frequency shift keying (CPFSK) is a constant amplitude modulation method with good spectral sidelobe properties. Good error probability properties can be obtained with coherent maximum-likelihood detection. In this paper we study the Euclidean distance properties of signals formed by a conventional rate1/2convolutional encoder followed by a binary or4-level CPFSK modulator. The minimum Euclidean distance is calculated for these signal sets as a function of the modulation index and the observation interval length. The optimum detector is discussed for rational modulation index values. The best obtainable codes are found for the case of short rate1/2codes with binary or4-level CPFSK modulation. Lists of the best codes are given. Among the results are that the noncatastrophic rate1/2convolutional codes with optimum free Hamming distance do not in general give the best Euclidean distance with CPFSK. Göran Lindell, Carl-Erik W. Sundberg, Tor Aulin |
IEEE Trans. Inf. Theory | 1 |