3 citations · 3 across the 4 of their papers we have counts for
8 papers
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…