How many linear measurements does it take to recover an object of interest?
What makes this result truly relevant is that the
The practical results are striking; in general, a
From an algebraic standpoint, the measurement process
In short, recovery via l1 minimization works, well,
L1-MAGIC is a collection of MATLAB routines for sparse
A nonlinear sampling theorem
"Robust uncertainty principles: Exact recovery from highly incomplete
The central result from this paper is that a sparse
Near-optimal signal recovery and the Uniform Uncertainty
"Near-optimal signal recovery from random projections and universal
This paper derives precise conditions for when
"Stable signal recovery from incomplete and inaccurate measurements"
This paper demonstrates that the recovery procedure
"The Dantzig selector: Statistical estimation when p is much
When the errors made in the measurement process are
"Decoding by Linear Programming"
This paper demonstrates that in addition to recovering
Finding Sparse Decompositions
"Quantitative robust uncertainty principles and optimally sparse
This paper revisits the now classical application