The Convergence of Block Cyclic Projection with Over-Relaxation Parameters for Compressed Sensing Based TomographyJournal of Computational and Applied Mathematics
AbstractThe convergence of the block cyclic projection for compressed sensing based tomography (BCPCS) algorithm had been proven recently in the case of underrelaxation parameter λ∈(0,1]. In this paper, we prove its convergence with overrelaxation parameter λ∈(1,2). As a result, the convergence of the other two algorithms (BCAVCS and BDROPCS) with overrelaxation parameter λ∈(1,2) in a special case is derived. Experiments are given to demonstrate the convergence behavior of the BCPCS algorithm with different values of λ.
Citation InformationFangjun Arroyo, Edward Arroyo, Xiezhang Li and Jiehua Zhu. "The Convergence of Block Cyclic Projection with Over-Relaxation Parameters for Compressed Sensing Based Tomography" Journal of Computational and Applied Mathematics Vol. 280 (2015) p. 59 - 67
Available at: http://works.bepress.com/jiehua_zhu/37/