239 citations · 275 across the 16 of their papers we have counts for
18 papers
Algorithms and Bounds for Complex and Quaternionic Lattices With Application to MIMO Transmission
Sebastian Stern, Cong Ling, Robert F. H. Fischer
Lattices are a popular field of study in mathematical research, but also in more practical areas like cryptology or multiple-input/multiple-output (MIMO) transmission. In mathemati…
Stabilization Techniques for Iterative Algorithms in Compressed Sensing
Carmen Sippel, Robert F. H. Fischer
Algorithms for signal recovery in compressed sensing (CS) are often improved by stabilization techniques, such as damping, or the less widely known so-called fractional approach, w…
Semantic Security for Indoor THz-Wireless Communication
Rebekka Schulz, Onur Günlü, Robert Elschner +4
Physical-layer security (PLS) for industrial indoor terahertz (THz) wireless communication applications is considered. We use a similar model as being employed for additive white G…
On Discrete-Time/Frequency-Periodic End-to-End Fiber-Optical Channel Models
Felix Frey, Johannes K. Fischer, Robert F. H. Fischer
A discrete-time end-to-end fiber-optical channel model is derived based on the first-order perturbation approach. The model relates the discrete-time input symbol sequences of co-p…
Bias Compensation in Iterative Soft-Feedback Algorithms with Application to (Discrete) Compressed Sensing
Susanne Sparrer, Robert F. H. Fischer
In all applications in digital communications, it is crucial for an estimator to be unbiased. Although so-called soft feedback is widely employed in many different fields of engine…
Low-Complexity Iterative Algorithms for (Discrete) Compressed Sensing
Robert F. H. Fischer, Susanne Sparrer
We consider iterative (`turbo') algorithms for compressed sensing. First, a unified exposition of the different approaches available in the literature is given, thereby enlightenin…
Unveiling Bias Compensation in Turbo-Based Algorithms for (Discrete) Compressed Sensing
Susanne Sparrer, Robert F. H. Fischer
In Compressed Sensing, a real-valued sparse vector has to be recovered from an underdetermined system of linear equations. In many applications, however, the elements of the sparse…
Algorithms for the Iterative Estimation of Discrete-Valued Sparse Vectors
Susanne Sparrer, Robert F. H. Fischer
In Compressed Sensing, a real-valued sparse vector has to be estimated from an underdetermined system of linear equations. In many applications, however, the elements of the sparse…
Space-Time Codes Based on Rank-Metric Codes and Their Decoding
Sven Puchinger, Sebastian Stern, Martin Bossert +1
We propose a new class of space-time block codes based on finite-field rank-metric codes in combination with a rank-metric-preserving mapping to the set of Eisenstein integers. It…
Layering of Communication Networks and a Forward-Backward Duality
Michael Cyran, Birgit Schotsch, Johannes B. Huber +2
In layered communication networks there are only connections between intermediate nodes in adjacent layers. Applying network coding to such networks provides a number of benefits i…
Error Correction for Differential Linear Network Coding in Slowly-Varying Networks
Sven Puchinger, Michael Cyran, Robert F. H. Fischer +2
Differential linear network coding (DLNC) is a precoding scheme for information transmission over random linear networks. By using differential encoding and decoding, the conventio…
Discrete Sparse Signals: Compressed Sensing by Combining OMP and the Sphere Decoder
Susanne Sparrer, Robert F. H. Fischer
We study the reconstruction of discrete-valued sparse signals from underdetermined systems of linear equations. On the one hand, classical compressed sensing (CS) is designed to de…
On a Multiple-Access in a Vector Disjunctive Channel
Alexey Frolov, Victor Zyablov, Vladimir Sidorenko +1
We address the problem of increasing the sum rate in a multiple-access system from [1] for small number of users. We suggest an improved signal-code construction in which in case o…
The PAPR Problem in OFDM Transmission: New Directions for a Long-Lasting Problem
Gerhard Wunder, Robert F. H. Fischer, Holger Boche +2
Peak power control for multicarrier communications has been a long-lasting problem in signal processing and communications. However, industry and academia are confronted with new c…
Capacity of BICM Using (Bi-)Orthogonal Signal Constellations in Impulse-Radio Ultra-Wideband Systems
Andreas Schenk, Robert F. H. Fischer
Bit-interleaved coded modulation (BICM) using (bi-)orthogonal signals is especially well suited for the application in impulse-radio ultra-wideband transmission systems, which typi…
Decision-Feedback Differential Detection in Impulse-Radio Ultra-Wideband Systems
Andreas Schenk, Robert F. H. Fischer
In this paper we present decision-feedback differential detection (DF-DD) schemes for autocorrelation-based detection in impulse-radio ultra-wideband (IR-UWB) systems, a signaling…
Notes on Lattice-Reduction-Aided MMSE Equalization
Robert F. H. Fischer
Over the last years, novel low-complexity approaches to the equalization of MIMO channels have gained much attention. Thereby, methods based on lattice basis reduction are of speci…
Soft-Output Sphere Decoder for Multiple-Symbol Differential Detection of Impulse-Radio Ultra-Wideband
Andreas Schenk, Robert F. H. Fischer
Power efficiency of noncoherent receivers for impulse-radio ultra-wideband (IR-UWB) transmission systems can significantly be improved, on the one hand, by employing multiple-symbo…