A matrix is said to possess the restricted isometry property (RIP), if it acts as an approximate isometry when restricted to sparse vectors. Previous work has shown it to be NP-hard to determine whether a matrix possess this property, but only in a narrow range of parameters. In this paper, we show that it is NP-hard to make this determination for any accuracy parameter, even when we restrict ourselves to instances which are either RIP or far from being RIP. This result implies that it is NP-hard to approximate the range of parameters for which a matrix possesses the RIP with accuracy better than some constant. Ours is the first work to prove such a claim without any additional assumptions.
- Compressed sensing
- computational complexity
- restricted isometry property
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Library and Information Sciences