Abstract: Most least-squares migration (LSM) imaging methods use iterative gradient update methods to approximate the inverse of the Hessian matrix, but such approximations are not accurate and ...
Abstract: Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Classical conditioning is a way to learn using unconscious associations. Pavlov discovered classical conditioning when dogs started to salivate at the sound of a bell before they got food. The ...
This is an implementation of the Blind Deconvolution Using Total Variation as cited in [1]. Optimization algorithm used is steepest descent. [1] T. F. Chan and C.-K. Wong, “Total Variation Blind ...
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