W
Werner Henkel
Researcher at Jacobs University Bremen
Publications - 134
Citations - 1220
Werner Henkel is an academic researcher from Jacobs University Bremen. The author has contributed to research in topics: Low-density parity-check code & Turbo code. The author has an hindex of 16, co-authored 132 publications receiving 1155 citations. Previous affiliations of Werner Henkel include University of Bremen & Infineon Technologies.
Papers
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Proceedings ArticleDOI
The cyclic prefix of OFDM/DMT - an analysis
TL;DR: In this paper, the impact of a too short cyclic prefix on multicarrier systems such as OFDM and DMT has been investigated and the main result is that the intersymbol interference (ISI) and intercarrier interference (ICI) may be spectrally concentrated.
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Impulse generation with appropriate amplitude, length, inter-arrival, and spectral characteristics
TL;DR: The former DT approach to impulse noise generation for testing digital subscriber line systems, so called xDSL systems is reviewed and an alternative technique is suggested that is capable of generating impulses with both appropriate amplitude an spectral characteristics.
Journal ArticleDOI
Another application for trellis shaping: PAR reduction for DMT (OFDM)
Werner Henkel,B. Wagner +1 more
TL;DR: The idea of trellis shaping, originally used to minimize average transmit power in single-carrier systems, is applied to the problem of PAR reduction in multicarrier transmission.
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Maximizing the channel capacity of multicarrier transmission by suitable adaptation of the time-domain equalizer
Werner Henkel,T. Kessler +1 more
TL;DR: An adaptation algorithm for determining the time-domain equalizer coefficients is described that maximizes the total channel capacity for all carriers of a multitone (discrete multitone) transmission, taking into account the crosstalk noise environment and the interblock interference as a common disturbance.
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Sequence-based information-theoretic features for gene essentiality prediction
TL;DR: The proposed method enables a simple and reliable identification of essential genes without searching in databases for orthologs and demanding further experimental data such as network topology and gene-expression.