solve1TV: 1-D Total Variation Penalized Nonlinear Minimization

Description Usage Arguments Value Author(s)

View source: R/solve1TV.R

Description

1-D Total Variation Penalized Nonlinear Minimization

Usage

1
 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 May 29, 2017, 9:28 p.m.

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