Cumulative mutual coherence

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

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