Improved Bounds on the Restricted Isometry Constant for Orthogonal Matching Pursuit

Abstract

In this letter, we first construct a counter example to show that for any given positive integer K≥ 2 and for any 1K+1≤ t<1, there always exist a K-sparse and a matrix with the restricted isometry constant δK+1=t such that the OMP algorithm fails in K iterations. Secondly, we show that even when δK+1=1K+1, the OMP algorithm can also perfectly recover every K-sparse vector from = in K iteration. This improves the best existing results which were independently given by Mo et al. and Wang et al.

0

Turn this paper into a lesson

ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.

Discussion (0)

Sign in to join the discussion.

Loading comments…