This repo contains the following files:
* data is a folder of the audios and image used.
* wavelet.py a python file that contains functions from the numerical tours about the wavelet transformation, and this python file will be used in the notebook and it is mainly used to get a shorter notebook.
The declipping algorithm implemented is detailed in this paper:
@inproceedings{IEEE
International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014),
Author = {Kai Siedenburg, Matthieu Kowalski, Monika Dörfler},
Title = {Audio Declipping with Social Sparsity},
Year = {2014}
}