49 citations · 179 across the 33 of their papers we have counts for
5 papers · 1 filter
Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO
Gerhard Wunder, Stelios Stefanatos, Axel Flinth +2
The problem of excessive pilot overhead required for uplink massive MIMO channel estimation is well known, let alone when it is considered along with wideband (OFDM) transmissions.…
Hierarchical Sparse Channel Estimation for Massive MIMO
Gerhard Wunder, Ingo Roth, Axel Flinth +4
The problem of wideband massive MIMO channel estimation is considered. Targeting for low complexity algorithms as well as small training overhead, a compressive sensing (CS) approa…
Compressed Sensing for Analog Signals
Bernard G. Bodmann, Axel Flinth, Gitta Kutyniok
In this paper we develop a general theory of compressed sensing for analog signals, in close similarity to prior results for vectors in finite dimensional spaces that are sparse in…
Hierarchical restricted isometry property for Kronecker product measurements
I. Roth, A. Flinth, R. Kueng +2
Hierarchically sparse signals and Kronecker product structured measurements arise naturally in a variety of applications. The simplest example of a hierarchical sparsity structure…
Recovery of Binary Sparse Signals with Biased Measurement Matrices
Axel Flinth, Sandra Keiper
This work treats the recovery of sparse, binary signals through box-constrained basis pursuit using biased measurement matrices. Using a probabilistic model, we provide conditions…