SebastianSemper / camiba

Compressed Sensing and Sparse Recovery Algorithms and more!

Camiba – Algorithms coming to Life

Installation

Clone or download this repository and invoke

python setup.py install

with the necessary user priviledges. Or run

pip install camiba

to get a fresh build from PyPi.

Documentation

The documentation can be found at https://sebastiansemper.github.io/camiba/ or in the respective github pages branch of this repository. To build the documentation yourself, invoke

python setup.py build_doc

and it will be placed in the doc/html subfolder.

Affiliation

This package is currently developed and maintained at TU Ilmenau at the EMS-Group and the Institute of Mathematics.