559 citations · 1.5k across the 55 of their papers we have counts for
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Sparse Recovery from Combined Fusion Frame Measurements
Petros T. Boufounos, Gitta Kutyniok, Holger Rauhut
Sparse representations have emerged as a powerful tool in signal and information processing, culminated by the success of new acquisition and processing techniques such as Compress…
Average Case Analysis of Multichannel Sparse Recovery Using Convex Relaxation
Yonina C. Eldar, Holger Rauhut
In this paper, we consider recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vector…
Compressive estimation of doubly selective channels in multicarrier systems: Leakage effects and sparsity-enhancing processing
Georg Tauboeck, Franz Hlawatsch, Daniel Eiwen +1
We consider the application of compressed sensing (CS) to the estimation of doubly selective channels within pulse-shaping multicarrier systems (which include OFDM systems as a spe…
Circulant and Toeplitz matrices in compressed sensing
Holger Rauhut
Compressed sensing seeks to recover a sparse vector from a small number of linear and non-adaptive measurements. While most work so far focuses on Gaussian or Bernoulli random meas…