Compressive
Sensing Using Entropy Functionals and
Total Variation Constraints
Packages
here provides examples of compressive
sensing using entropy functionals and total variation constraints. Description
of each package is given below.This work is a part of project TUBITAK
111E057 -. Compressive Sensing Algorithms Using Entropy Functional and
Total Variation Constraints.
Signal-Rec 1D : Reconstructions of 1D
signals
Signal-Rec 2D : Reconstructions of
images
Projections: All projections
TVEstBwExhaustivePub: Estimates the bandwidth (bw) or
sigma of a Gaussian kernel for kernel density estimation (KDE) using a total
variation (TV) constraint.
FVEstBwExhaustivePub: Estimates
the bandwidth (bw) or sigma of a Gaussian kernel for kernel density estimation
(KDE) using a filtered variation (FV) constraint.