Abstract
The support recovery performance of orthogonal matching pursuit (OMP) for the l ∞ bounded noise is presented. It is shown that OMP can exactly recover the support of arbitrary K-sparse signal x from noisy measurements y = Φ x + e in K iterations, provided that the matrix Φ and the minimum magnitude of all the non-zero elements of x satisfy certain requirements. The proposed result is an improvement over the existing ones.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.