Abstract
A fast gridless method for sparse frequency estimation in the presence of prior information is presented. It allows arbitrarily sampled data and has a significantly smaller complexity than the existing gridless sparse recovery methods. The proposed method achieves good frequency estimation accuracy and resolution performance in numerical simulations. It is also useful where no prior knowledge is available.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
