245 citations · 406 across the 13 of their papers we have counts for
5 papers · 1 filter
A Lower Bound on the Estimator Variance for the Sparse Linear Model
Sebastian Schmutzhard, Alexander Jung, Franz Hlawatsch +2
We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise. Using the…
Performance Bounds and Design Criteria for Estimating Finite Rate of Innovation Signals
Zvika Ben-Haim, Tomer Michaeli, Yonina C. Eldar
In this paper, we consider the problem of estimating finite rate of innovation (FRI) signals from noisy measurements, and specifically analyze the interaction between FRI technique…
Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques from Noisy Measurements
Zvika Ben-Haim, Yonina C. Eldar
This paper examines the ability of greedy algorithms to estimate a block sparse parameter vector from noisy measurements. In particular, block sparse versions of the orthogonal mat…
Unbiased Estimation of a Sparse Vector in White Gaussian Noise
Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch +1
We consider unbiased estimation of a sparse nonrandom vector corrupted by additive white Gaussian noise. We show that while there are infinitely many unbiased estimators for this p…
On Unbiased Estimation of Sparse Vectors Corrupted by Gaussian Noise
Alexander Jung, Zvika Ben-Haim, Franz Hlawatsch +1
We consider the estimation of a sparse parameter vector from measurements corrupted by white Gaussian noise. Our focus is on unbiased estimation as a setting under which the diffic…