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Uwe Dettmar

dblp:33/3231 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 2 · 2 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 · 100%

Topics — the 10 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes › decoding › minimum distance decoding
bounded-distance decoding
0.011995
Bounded minimum distance decoding of unit memory codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes
concatenated codes
0.011995
Modified generalized concatenated codes and their application to the construction and decoding of LUEP codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes
convolutional codes
0.011995
Bounded minimum distance decoding of unit memory codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes
decoding
0.011995
Bounded minimum distance decoding of unit memory codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes › concatenated codes
generalized concatenated codes
0.011995
Modified generalized concatenated codes and their application to the construction and decoding of LUEP codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes › unequal error protection codes
linear unequal error protection codes
0.011995
Modified generalized concatenated codes and their application to the construction and decoding of LUEP codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes
unequal error protection
0.011995
Modified generalized concatenated codes and their application to the construction and decoding of LUEP codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes › convolutional codes
unit memory codes
0.011995
Bounded minimum distance decoding of unit memory codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes › decoding
decoding algorithms
0.011995
Modified generalized concatenated codes and their application to the construction and decoding of LUEP codes · IEEE Trans. Inf. Theory 1995
Coding theory › error-correcting codes › decoding
trellis decoding
0.011995
Bounded minimum distance decoding of unit memory codes · IEEE Trans. Inf. Theory 1995

Methods — techniques the papers use, named apart from their topics

metric-based decoding · 0.0complexity analysis · 0.0code construction · 0.0block code decoding · 0.0
YearPublicationVenuePosition
1996 Combined channel estimation and frequency correction for packet oriented mobile communication systems
abstract
We show how the well known least square (LS) algorithm can be used for combined channel estimation and frequency correction in packet oriented mobile communication systems. The method is derived by investigation of the effect of a frequency offset, e.g., due to the instability of the local oscillators, on the LS estimates. The algorithm corrects frequency offsets resulting in phase shifts per symbol that are in the range of several degrees. Imperfect correlation properties of the applied synchronisation sequence are automatically compensated by the algorithm.
Uwe Dettmar
PIMRC1
1995 Modified generalized concatenated codes and their application to the construction and decoding of LUEP codes
abstract
Proposes a modification of generalized concatenated codes, which allows to construct some of the best known binary codes in a simple way. Furthermore, a large class of optimal linear unequal error protection codes (LUEP codes) can easily be generated. All constructed codes can be efficiently decoded by the Blokh-Zyablov-Zinov'ev algorithm if an appropriate metric is used.>
Uwe Dettmar, Yan Gao 0032, Ulrich K. Sorger
IEEE Trans. Inf. Theory1
1995 Bounded minimum distance decoding of unit memory codes
abstract
We propose an algorithm for bounded minimum distance decoding of (partial) unit memory codes up to half the "designed" extended row distance. It makes use of a reduced trellis with the nodes found by bounded minimum distance decoding of the block codes used in the unit memory code. The results can be extended to general multimemory codes. The complexity of this algorithm is upper bounded by 2(d~/sub 1sup r/-2d/sub /spl alpha) times the complexity of the bounded minimum distance decoder of the block codes in the unit memory code. Here d/sub /spl alpha is the linear increase of the designed extended row distance d~/sub isup r/.>
Uwe Dettmar, Ulrich K. Sorger
IEEE Trans. Inf. Theory1