solve1TV: 1-D Total Variation Penalized Nonlinear Minimization

In R1magic: Compressive Sampling: Sparse Signal Recovery Utilities

1-D Total Variation Penalized Nonlinear Minimization

Description

1-D Total Variation Penalized Nonlinear Minimization

Usage

 solve1TV(phi,y,T,x0,lambda=0.1)

Arguments

x0	Initial value of the vector to be recovered. Sparse representation of the vector ( N x 1 matrix ) X=Tx, where X is the original vector
T	sparsity bases ( N x N matrix )
phi	Measurement matrix (M x N).
y	Measurement vector (Mx1).
lambda	Penalty coefficient. Defaults 0.1

Value

Returns nlm object.

Author(s)

Mehmet Suzen

R1magic documentation built on Aug. 27, 2023, 5:07 p.m.