# Yonina C. Eldar

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- Publications
- Influence

From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals

- M. Mishali, Yonina C. Eldar
- Computer Science, Mathematics
- IEEE Journal of Selected Topics in Signal…
- 25 February 2009

Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. In this paper, we consider the challenging problem of blind sub-Nyquist sampling of… Expand

Block-Sparse Signals: Uncertainty Relations and Efficient Recovery

- Yonina C. Eldar, Patrick Kuppinger, H. Bölcskei
- Computer Science, Mathematics
- IEEE Transactions on Signal Processing
- 16 June 2009

We consider efficient methods for the recovery of block-sparse signals-i.e., sparse signals that have nonzero entries occurring in clusters-from an underdetermined system of linear equations. An… Expand

Linear precoding via conic optimization for fixed MIMO receivers

- A. Wiesel, Yonina C. Eldar, S. Shamai
- Computer Science, Mathematics
- IEEE Transactions on Signal Processing
- 2006

In this paper, the problem of designing linear precoders for fixed multiple-input-multiple-output (MIMO) receivers is considered. Two different design criteria are considered. In the first, the… Expand

Structured Compressed Sensing: From Theory to Applications

- Marco F. Duarte, Yonina C. Eldar
- Computer Science, Mathematics
- IEEE Transactions on Signal Processing
- 30 June 2011

Compressed sensing (CS) is an emerging field that has attracted considerable research interest over the past few years. Previous review articles in CS limit their scope to standard… Expand

Robust Recovery of Signals From a Structured Union of Subspaces

- Yonina C. Eldar, M. Mishali
- Physics, Computer Science
- IEEE Transactions on Information Theory
- 28 July 2008

Traditional sampling theories consider the problem of reconstructing an unknown signal x from a series of samples. A prevalent assumption which often guarantees recovery from the given measurements… Expand

Compressed Sensing with Coherent and Redundant Dictionaries

- E. Candès, Yonina C. Eldar, D. Needell
- Mathematics, Computer Science
- ArXiv
- 14 May 2010

This article presents novel results concerning the recovery of signals from undersampled data in the common situation where such signals are not sparse in an orthonormal basis or incoherent… Expand

Blind Multiband Signal Reconstruction: Compressed Sensing for Analog Signals

- M. Mishali, Yonina C. Eldar
- Physics, Computer Science
- IEEE Transactions on Signal Processing
- 11 September 2007

We address the problem of reconstructing a multiband signal from its sub-Nyquist pointwise samples, when the band locations are unknown. Our approach assumes an existing multi-coset sampling. To… Expand

Phase Retrieval via Matrix Completion

- E. Candès, Yonina C. Eldar, T. Strohmer, V. Voroninski
- Computer Science, Mathematics
- SIAM Rev.
- 2 September 2011

This paper develops a novel framework for phase retrieval, a problem which arises in X-ray crystallography, diffraction imaging, astronomical imaging, and many other applications. Our approach,… Expand

Zero-Forcing Precoding and Generalized Inverses

- A. Wiesel, Yonina C. Eldar, S. Shamai
- Mathematics, Computer Science
- IEEE Transactions on Signal Processing
- 1 September 2008

We consider the problem of linear zero-forcing precoding design and discuss its relation to the theory of generalized inverses in linear algebra. Special attention is given to a specific generalized… Expand

Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow

- G. Wang, Georgios B. Giannakis, Yonina C. Eldar
- Computer Science, Mathematics
- IEEE Transactions on Information Theory
- 26 May 2016

This paper presents a new algorithm, termed <italic>truncated amplitude flow</italic> (TAF), to recover an unknown vector <inline-formula> <tex-math notation="LaTeX">$ {x}$… Expand