84 citations · 342 across the 31 of their papers we have counts for
3 papers · 1 filter
The Restricted Isometry Property for Random Block Diagonal Matrices
Armin Eftekhari, Han Lun Yap, Christopher J. Rozell +1
In Compressive Sensing, the Restricted Isometry Property (RIP) ensures that robust recovery of sparse vectors is possible from noisy, undersampled measurements via computationally…
Stable Manifold Embeddings with Structured Random Matrices
Han Lun Yap, Michael B. Wakin, Christopher J. Rozell
The fields of compressed sensing (CS) and matrix completion have shown that high-dimensional signals with sparse or low-rank structure can be effectively projected into a low-dimen…
Re-Weighted l_1 Dynamic Filtering for Time-Varying Sparse Signal Estimation
Adam S. Charles, Christopher J. Rozell
Signal estimation from incomplete observations improves as more signal structure can be exploited in the inference process. Classic algorithms (e.g., Kalman filtering) have exploit…