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Norbert Hanik

Researcher at Technische Universität München

Publications -  150
Citations -  2930

Norbert Hanik is an academic researcher from Technische Universität München. The author has contributed to research in topics: Transmission (telecommunications) & Wavelength-division multiplexing. The author has an hindex of 28, co-authored 145 publications receiving 2699 citations. Previous affiliations of Norbert Hanik include Deutsche Telekom & Ludwig Maximilian University of Munich.

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On Probabilistic Shaping of Quadrature Amplitude Modulation for the Nonlinear Fiber Channel

TL;DR: In this paper, the effect of using a small number of input probability mass functions (PMFs) for a range of signal-to-noise ratios (SNRs), instead of optimizing the constellation shaping for each SNR, was investigated.
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Robustness of DPSK direct detection transmission format in standard fibre WDM systems

TL;DR: The practicability of using phase modulation in a 16 channel 10 Gbit/s system over 1600 km of standard SMF with simple dispersion compensation and the robustness in presence of ASK modulated channels has been shown for the first time.
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Application of amplitude histograms to monitor performance of optical channels

TL;DR: A novel method based on the evaluation of amplitude histograms generated by asynchronous sampling is found to detect signal degradations due to noise, crosstalk or pulse distortion with a high sensitivity.
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Reduced Complexity Digital Back-Propagation Methods for Optical Communication Systems

TL;DR: Two proposals to reduce the hardware complexity required by digital back-propagation are discussed, one confirms and extends published results for non-dispersion managed link, while the second introduces a novel method applicable to dispersion managed links, showing complexity reductions in the order of 50% and up to 85%, respectively.
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DSP complexity of mode-division multiplexed receivers

TL;DR: It is concluded that for few mode transmission systems the reduction of modal delay is crucial to enable long-haul performance and the complexity of mode-division multiplexed digital signal processing algorithms with different numbers of multiplexing modes in terms ofmodal dispersion and distance.