260 citations · 879 across the 60 of their papers we have counts for
21 papers · 1 filter
Compressibility Measures for Affinely Singular Random Vectors
Mohammad-Amin Charusaie, Arash Amini, Stefano Rini
There are several ways to measure the compressibility of a random measure; they include general approaches such as using the rate-distortion curve, as well as more specific notions…
Living near the edge: A lower-bound on the phase transition of total variation minimization
Sajad Daei, Farzan Haddadi, Arash Amini
This work is about the total variation (TV) minimization which is used for recovering gradient-sparse signals from compressed measurements. Recent studies indicate that TV minimiza…
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…
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…