1-D Total Variation Penalized Objective Function

Description

1-D Total Variation Penalized Objective Function

Usage

1
objective1TV(x, T, phi, y, lambda)

Arguments

x

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.

Value

Returns a vector.

Author(s)

Mehmet Suzen