36 citations · 63 across the 6 of their papers we have counts for
4 papers
Bounds on the Number of Measurements for Reliable Compressive Classification
Hugo Reboredo, Francesco Renna, Robert Calderbank +1
This paper studies the classification of high-dimensional Gaussian signals from low-dimensional noisy, linear measurements. In particular, it provides upper bounds (sufficient cond…
Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds
João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
We address the problem of Compressed Sensing (CS) with side information. Namely, when reconstructing a target CS signal, we assume access to a similar signal. This additional knowl…
Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds
Joao F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
We address the problem of compressed sensing (CS) with prior information: reconstruct a target CS signal with the aid of a similar signal that is known beforehand, our prior inform…
Discrimination on the Grassmann Manifold: Fundamental Limits of Subspace Classifiers
Matthew Nokleby, Miguel Rodrigues, Robert Calderbank
We present fundamental limits on the reliable classification of linear and affine subspaces from noisy, linear features. Drawing an analogy between discrimination among subspaces a…