1-D Total Variation Penalized Objective Function

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

`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. |

Returns a vector.

Mehmet Suzen

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.