arXiv · math/0408195
On deconvolution problems: numerical aspects
Abstract
An optimal algorithm is described for solving the deconvolution problem of the form ${\bf k}u:=\int_0^tk(t-s)u(s)ds=f(t)$ given the noisy data $f_δ$, $||f-f_δ||\leq δ.$ The idea of the method consists of the representation ${\bf k}=A(I+S)$, where $S$ is a compact operator, $I+S$ is injective, $I$ is the identity operator, $A$ is not boundedly invertible, and an optimal regularizer is constructed for $A$. The optimal regularizer is constructed using the results of the paper MR 40#5130.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
A. G. Ramm, A. Smirnova. 2004-08-14. On deconvolution problems: numerical aspects. https://arxiv.org/abs/math/0408195
Cite the original work for its findings. Save a collection to share your selection of sources.