|
This paper presents a neurodynamic optimization approach for l 1 minimization based on an augmented Lagrangian function. By using the threshold function in locally competitive algorithm （LCA）, subgradient at a nondifferential point is equivalently replaced with the difference of the neuronal state and its mapping. The efficacy of the proposed approach is substantiated by reconstructing three compressed images.
|
