# Welcome

## Research Area

### Sparse signal decompositions

#### Overview

I have been (and still am) very interested in sparse decomposition algorithms, especially greedy ones
and essentially on Audio/Acoustics signals (e.g. 1D data)

During my PhD I have developped a variant
of the Matching Pursuit (MP) algorithm, which is called Random Sequential Subdictionaries Matching Pursuit
(RSSMP). It mainly uses randomness to artificially increase the number of atoms among which the algorithm is
allowed to choose.

I then used this algorithm to enhance low bitrate audio compression schemes.

#### Papers and support material

- The paper explaining the algorithm is here
- Audio samples illustrating the results can be found here (to be transfered)
- Matlab code for the algorithm is available on FileExchange

### Audio Source Separation

#### Overview

##### Papers and support material

- The paper explaining the algorithm is here

### Blind Denoising of time series

#### Overview

##### Papers and support material

- The paper explaining the algorithm is here

### Reproducing research and code

A Python package for greedy decomposition (including RSSMP) is available in the form of the PyMP package (on github). I try to provide extensive documentation and even wrote tutorials to reproduce some results from the paper.

Source code for our denoising algorithm BIRD is on github (Joint work with A. Gramfort)

If you're interested in getting code from my other work please feel free to contact me.

### Volcanology

My brother Yves is a famous volcanologist and I have assisted him in his field data analysis.