Inertial Relaxed CQ Algorithm with an Application to Signal Processing

Duangkamon Kitkuan, Kanikar Muangchoo

Abstract

In this paper, we introduce  inertial relaxed algorithm  involving the self-adaptive technique for solving the split feasibility problem in  Hilbert spaces  which we approximate the original convex subset by a sequence of closed balls instead of half spaces.  Then, the convergence results are established under mild conditions. Finally, we applied our algorithm in signal processing.