Maximization of Entropy
This is the main file of the algorithm presented in the paper Solé-Casals J, López-de-Ipiña Pena K, Caiafa CF (2016) Inverting Monotonic Nonlinearities by Entropy Maximization. PLoS ONE 11(10): e0165288. https://doi.org/10.1371/journal.pone.0165288
You can play with it by generating some PNL mixtures and invert the nonlinear distortion through MaxEnt, Gaussianization and Uniformization algorithms.
How it works:
- choose a nonlinear distortion by uncommenting lines 69-71 or 73-75
- choose an algorithm by uncommenting lines 79-80 or 82-83
You can play with the order of the polynomes (N), the length of the signals (T), the matrix (A), etc. Other parameters can be tunned into the corresponding functions.
J. Solé-Casals, K. López-de-Ipiña, C. Caiafa August, 2016
Please, cite our paper if you use our code!