14 citations · 29 across the 5 of their papers we have counts for
4 papers · 1 filter
A Survey on Compressive Sensing: Classical Results and Recent Advancements
Ahmad Mousavi, Mehdi Rezaee, Ramin Ayanzadeh
Recovering sparse signals from linear measurements has demonstrated outstanding utility in a vast variety of real-world applications. Compressive sensing is the topic that studies…
Exact Support and Vector Recovery of Constrained Sparse Vectors via Constrained Matching Pursuit
Jinglai Shen, Seyedahmad Mousavi
Matching pursuit, especially its orthogonal version (OMP) and variations, is a greedy algorithm widely used in signal processing, compressed sensing, and sparse modeling. Inspired…
Solution Uniqueness of Convex Piecewise Affine Functions Based Optimization with Applications to Constrained Minimization
Seyedahmad Mousavi, Jinglai Shen
In this paper, we study the solution uniqueness of an individual feasible vector of a class of convex optimization problems involving convex piecewise affine functions and subject…
Least Sparsity of -norm based Optimization Problems with
Jinglai Shen, Seyedahmad Mousavi
Motivated by -optimization arising from sparse optimization, high dimensional data analytics and statistics, this paper studies sparse properties of a wide range of -nor…