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Johannes B. Huber

Researcher at University of Erlangen-Nuremberg

Publications -  195
Citations -  10531

Johannes B. Huber is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Decoding methods & Turbo code. The author has an hindex of 38, co-authored 195 publications receiving 10239 citations.

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Journal ArticleDOI

Lattice-Reduction-Aided and Integer-Forcing Equalization: Structures, Criteria, Factorization, and Coding

TL;DR: In this article, the authors provide a tutorial review of the Lattice Reduction-Aided and Integer-Forcing approaches to equalization in MIMO communications and highlight the similarities and differences of both approaches while summarizing the various criteria for selecting the integer linear combinations available in the literature.
Journal ArticleDOI

Analysis and design of power-efficient coding schemes with parallel concatenated convolutional codes

TL;DR: The method of extrinsic information transfer charts is extended, that is limited to the case of a concatenation of two component codes, to the cases of multiple turbo codes.
Proceedings ArticleDOI

On the difficulty of bit-interleaved coded modulation for differentially encoded transmission over fading channels

TL;DR: The application of bit-interleaved coded modulation in combination with differential encoding and non-coherent reception over flat fading channels is assessed and a suitable definition of Gray labeling for differentially encoded transmission is proposed.
Proceedings ArticleDOI

Punctured vs. multidimensional TCM — A comparison w.r.t. complexity

TL;DR: It is shown that punctured TCM not only offers a higher flexibility in rate adjustment but significantly less decoding complexity when compared to MD-TCM.
Proceedings ArticleDOI

Differential Space-Frequency Modulation and 2D-Detection for MIMO-OFDM

TL;DR: A novel DSFM scheme is devised, which makes use of spatial and/or spectral diversity and is particularly suited for MIMO-OFDM and power-efficient, low-delay MSDD and enables quick and accurate performance evaluations.