8 citations · 8 across the 2 of their papers we have counts for
4 papers
Sparse Recovery of Fusion Frame Structured Signals
Ulaş Ayaz
Fusion frames are collection of subspaces which provide a redundant representation of signal spaces. They generalize classical frames by replacing frame vectors with frame subspace…
Sparse Depth Sensing for Resource-Constrained Robots
Fangchang Ma, Luca Carlone, Ulas Ayaz +1
We consider the case in which a robot has to navigate in an unknown environment but does not have enough on-board power or payload to carry a traditional depth sensor (e.g., a 3D l…
Uniform recovery of fusion frame structured sparse signals
Ulaş Ayaz, Sjoerd Dirksen, Holger Rauhut
We consider the problem of recovering fusion frame sparse signals from incomplete measurements. These signals are composed of a small number of nonzero blocks taken from a family o…
Nonuniform Sparse Recovery with Subgaussian Matrices
Ulaş Ayaz, Holger Rauhut
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as -minimization find the…