Recursive and iterative estimation algorithms for multiresolution stochastic processes
Recursive and iterative estimation algorithms for multiresolution stochastic processes
A particular class of processes defined on dyadic trees is treated. Three algorithms are given for optimal estimation/reconstruction for such processes: one reminiscent of the Laplacian pyramid and making efficient use of Haar transforms, a second that is iterative in nature and can be viewed as a multigrid relaxation algorithm, …