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 .
The paper about random sampling patterns: “Generation and Analysis of Constrained Random Sampling Patterns” is now availabe on arXiv .
The first two tutorial presentation about the topics from the paper “Generation and Analysis of Constrained Random Sampling Patterns” are available on the website . The presentations try to explain the topics from the paper in a bit more informal way.
The paper itself was send to arXive . It should be available to download and view in the very next couple of days.
A paper about random sampling patterns: “Generation and Analysis of Constrained Random Sampling Patterns” was submitted to Springer journal “Circuits, Systems and Signal Processing” . The paper will be availabe on arXiv soon.
“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.