Pairwise optimal weight realization-acceleration technique for set-theoretic adaptive parallel subgradient projection algorithm

A novel weighting technique named pairwise optimal weight realization (POWER) for further acceleration of the adaptive parallel subgradient projection (PSP) algorithm is described. The examples have shown that the proposed technique for r= 1 yields faster convergence than not only adaptive PSP with uniform weights, affine projection algorithm and fast Newton transversal filters but also the regularized recursive least squares algorithm.