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05/21/2020
Blind Two-Dimensional Super Resolution in Multiple Input Single Output Linear Systems
In this paper, we consider a multiple-input single-output (MISO) linear ...
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05/21/2020
Multi-weight Nuclear Norm Minimization for Low-rank Matrix Recovery in Presence of Subspace Prior Information
Weighted nuclear norm minimization has been recently recognized as a tec...
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10/30/2019
Off-the-grid Recovery of Time and Frequency Shifts with Multiple Measurement Vectors
We address the problem of estimating time and frequency shifts of a know...
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09/08/2019
Living near the edge: A lower-bound on the phase transition of total variation minimization
This work is about the total variation (TV) minimization which is used f...
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07/27/2019
A Greedy Algorithm for Matrix Recovery with Subspace Prior Information
Matrix recovery is the problem of recovering a low-rank matrix from a fe...
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03/24/2019
One Bit Spectrum Sensing in Cognitive Radio Sensor Networks
This paper proposes a spectrum sensing algorithm from one bit measuremen...
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09/27/2018
Optimal Exploitation of Subspace Prior Information in Matrix Sensing
Matrix sensing is the problem of reconstructing a low-rank matrix from a...
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09/09/2018
Distribution-aware Block-sparse Recovery via Convex Optimization
We study the problem of reconstructing a block-sparse signal from compre...
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08/13/2018
Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information
In this work, we consider the problem of recovering analysis-sparse sign...
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08/13/2018
Eigenvectors of Deformed Wigner Random Matrices
We investigate eigenvectors of rank-one deformations of random matrices ...
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07/13/2018
Strong Interference Alignment
Interference alignment (IA) adjusts signaling scheme such that all inter...
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07/03/2018
Robustness of Two-Dimensional Line Spectral Estimation Against Spiky Noise
The aim of two-dimensional line spectral estimation is to super-resolve ...
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06/27/2018
On the Error in Phase Transition Computations for Compressed Sensing
Evaluating the statistical dimension is a common tool to determine the a...
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05/20/2018
Adaptive Dictionary Sparse Signal Recovery Using Binary Measurements
One-bit compressive sensing is an extended version of compressed sensing...
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04/20/2018
Exploiting Prior Information in Block Sparse Signals
We study the problem of recovering a block-sparse signal from under-samp...
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03/08/2018
Sample Complexity of Total Variation Minimization
This work considers the use of Total variation (TV) minimization in the ...
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07/02/2016
