79 citations · 276 across the 27 of their papers we have counts for
10 papers · 1 filter
Optimal Weighted Low-rank Matrix Recovery with Subspace Prior Information
Sajad Daei, Arash Amini, Farzan Haddadi
Matrix sensing is the problem of reconstructing a low-rank matrix from a few linear measurements. In many applications such as collaborative filtering, the famous Netflix prize pro…
Distribution-aware Block-sparse Recovery via Convex Optimization
Sajad Daei, Farzan Haddadi, Arash Amini
We study the problem of reconstructing a block-sparse signal from compressively sampled measurements. In certain applications, in addition to the inherent block-sparse structure of…
Improved Recovery of Analysis Sparse Vectors in Presence of Prior Information
Sajad Daei, Farzan Haddadi, Arash Amini
In this work, we consider the problem of recovering analysis-sparse signals from under-sampled measurements when some prior information about the support is available. We incorpora…
Eigenvectors of Deformed Wigner Random Matrices
Farzan Haddadi, Arash Amini
We investigate eigenvectors of rank-one deformations of random matrices in which is…
Strong Interference Alignment
Zainalabedin Samadi, Vahid Tabatabavakili, Farzan Haddadi
Interference alignment (IA) adjusts signaling scheme such that all interfering signals are squeezed in interference subspace. IA mostly achieves its performance via infinite extens…
Robustness of Two-Dimensional Line Spectral Estimation Against Spiky Noise
Iman Valiulahi, Farzan Haddadi, Arash Amini
The aim of two-dimensional line spectral estimation is to super-resolve the spectral point sources of the signal from time samples. In many associated applications such as radar an…