l2 Penalized Nonlinear Minimization

Share:

Description

l2 Penalized Nonlinear Minimization

Usage

1
 solveL2(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