A Trivial Observation related to Sparse Recovery
Suvrit Sra

TL;DR
This paper presents a simple modification to existing sparse recovery analysis, replacing the RIP with a potentially simpler RIP-type property, though its practical usefulness remains uncertain.
Contribution
It introduces a trivial change to the analysis of sparse recovery algorithms, questioning the necessity of the standard RIP and proposing an alternative RIP-type condition.
Findings
Proposes an alternative RIP-type property for sparse recovery analysis
Suggests the new property might be simpler or as complex as RIP
Highlights the uncertainty about the practical checkability of the new property
Abstract
We make a trivial modification to the elegant analysis of Garg and Khandekar (\emph{Gradient Descent with Sparsification} ICML 2009) that replaces the standard Restricted Isometry Property (RIP), with another RIP-type property (which could be simpler than the RIP, but we are not sure; it could be as hard as the RIP to check, thereby rendering this little writeup totally worthless).
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSparse and Compressive Sensing Techniques · Microwave Imaging and Scattering Analysis · Image and Signal Denoising Methods
