A small side-project, ‘melancholia’ module, is available to download . Python module ‘melancholia’ is able to print NumPy arrays into a variable or a file in a nice, human-readable way.
The module is available on GitHub , module’s documentation is here .
Please take a look on two examples of NumPy arrays printed with ‘melancholia’: 2-dimensional arrays and 1-dimensional arrays . User decides about numbers format, delimiters, line wrapping etc.
Here are some examples of using ‘melancholia’ in Python programs.
Reproducible materials for “Frequency Selective Compressed Sensing” are available here . Reproducible research scripts are available on GitHub .
A new module is present in RxCS software: Inverse Discrete Hartley Transform . You can find the module on RxCS’s GitHub page , an example of how to use the module is also available on GitHub.
Module with Kernel Recursive Least Squares algorithm with Approximate Linear Dependency criterion is added to RxCS toolbox . You can find the module on GitHub . It is a Python implementation of an algorithm written in Matlab by Steven Van Vaerenbergh in his Kafbox toolbox .
More examples of using the RxCS toolbox are added. You can find the examples here . Read more about the RxCS toolbox here.
“RxCS” toolbox v0.01 is ready. You can access it on its GitHub webpage . RxCS is the main tool which is used in the Numerical Simulations part of the project, and it will grow with the project. Stay tuned for the upcoming updates.