activity
20122017
most citedGESPAR: Efficient Phase Retrieval of Sparse Signals

319 citations · 497 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IT2017★ 51 cited

On Fienup Methods for Regularized Phase Retrieval

Edouard Pauwels, Amir Beck, Yonina C. Eldar +1

Alternating minimization, or Fienup methods, have a long history in phase retrieval. We provide new insights related to the empirical and theoretical analysis of these algorithms w…

math.OC2015

The Sparse Principal Component Analysis Problem: Optimality Conditions and Algorithms

Amir Beck, Yakov Vaisbourd

Sparse principal component analysis addresses the problem of finding a linear combination of the variables in a given data set with a sparse coefficients vector that maximizes the…

math.OC2015★ 10 cited

Linearly Convergent Away-Step Conditional Gradient for Non-strongly Convex Functions

Amir Beck, Shimrit Shtern

We consider the problem of minimizing a function, which is the sum of a linear function and a composition of a strongly convex function with a linear transformation, over a compact…

math.OC2015

The Cyclic Block Conditional Gradient Method for Convex Optimization Problems

Amir Beck, Edouard Pauwels, Shoham Sabach

In this paper we study the convex problem of optimizing the sum of a smooth function and a compactly supported non-smooth term with a specific separable form. We analyze the block…

math.OC2013★ 103 cited

Smoothing and Decomposition for Analysis Sparse Recovery

Zhao Tan, Yonina C. Eldar, Amir Beck +1

We consider algorithms and recovery guarantees for the analysis sparse model in which the signal is sparse with respect to a highly coherent frame. We consider the use of a monoton…

cs.IT2013★ 319 cited

GESPAR: Efficient Phase Retrieval of Sparse Signals

Yoav Shechtman, Amir Beck, Yonina C. Eldar

We consider the problem of phase retrieval, namely, recovery of a signal from the magnitude of its Fourier transform, or of any other linear transform. Due to the loss of the Fouri…

cs.IT2012★ 14 cited

Sparsity Constrained Nonlinear Optimization: Optimality Conditions and Algorithms

Amir Beck, Yonina C. Eldar

This paper treats the problem of minimizing a general continuously differentiable function subject to sparsity constraints. We present and analyze several different optimality crit…