Abstract
The sparse solutions obtained via the regularized version of FOCUSS (focal underdetermined system solver) are governed by the choice of a proper regularization parameter. Based on the principle of adaptive regularization algorithm (ARA) and regularized FOCUSS (R-FOCUSS) algorithm, this paper proposes an adaptive regularized FOCUSS (AR-FOCUSS) algorithm for solving an underdetermined linear system. Simulation results show that AR-FOCUSS is less sensitive to the choice of regularization parameter than R-FOCUSS, and the former outperforms the latter under the same conditions.
Sign-in/Register to access full text options 
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.
