What's new in ScatNet v0.2 :

• More efficient wavelet transforms with the cascade algorithm : see core/wavelet_factory_2d_pyramid.m
• Frequency transposition invariance : see core/scat_freq.m
• Roto-translation invariance : see core/wavelet_factory_3d_pyramid.m
• Inverse scattering transform for 1D : see reconstruction/
• Selesnick wavelets of compact support : see filters/selesnick_filter_bank_1d.
• Improved display : see display/
• New utility functions for classification : see scatutils/
• A comprehensive documentation PDF file : see doc/
• 15 demos : see demo/
• Standard headers for all functions
• The MATLAB Signal Processing Toolbox is no longer required

ScatNet v0.2

ScatNet is a MATLAB library for scattering networks.

See our homepage of the project for documentation, tutorials, and bibliography

http://www.di.ens.fr/data/software/scatnet/

Contact

For any enquiry, please write to the brand new e-mail address of our team : scatnet[AT]di[DOT]ens[DOT]fr where [AT] and [DOT] must be replaced by the characters @ and . respectively.

Install ScatNet

• launch addpath_scatnet from matlab shell

[optional] : add the following two lines to your startup.m file so that matlab does the addpath automatically when it starts:

addpath /path/to/scatnet;
addpath_scatnet;

Quickstarts

Use ScatNet with audio signals: http://www.di.ens.fr/data/software/scatnet/quickstart-audio/

Use ScatNet with images: http://www.di.ens.fr/data/software/scatnet/quickstart-image/

Team

Developers : Laurent Sifre, Joakim Andén, Edouard Oyallon, Michel Kapoko, Vincent Lostanlen.

Beta-testers : Irène Waldspurger, Guy Wolf, Matthew Hirn.

Many thanks to : Stéphane Mallat, our team leader ; Ivan Selesnick (NYU), of which the filters/selesnick/ package appears courtesy ; Joan Bruna (NYU) for his help.