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 .

# New RxCS examples

# Paper about random sampling patterns is avaialble on arXiv

The paper about random sampling patterns: “Generation and Analysis of Constrained Random Sampling Patterns” is now availabe on arXiv .

# Presentation about the topics from the paper are available

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.

# Paper was submitted

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.

# Subpage about GUI for PaTeS software was created.

Subpage about GUI for PaTeS software was created. With the GUI it is possible to configure and run PaTeS toolbox in a more intuitive and user friendly way.

# Subpage about PaTeS software was created.

Subpage about “PaTeS” software was created. The subpage contains general information, a bit more detailed description of “PaTeS” and simple examples of usage . More content on the website will come soon.

# Patterns Testing System (PaTeS) v1.0 is available.

Patterns Testing System (“PaTeS”) v1.0 was released. It is the second of the two software packages planned in the project. You can find the software on GithHub . A page concerning “PaTeS” will be available on www.irfducs.org in the next couple of hours.

# RxCS example #1

We have created the first example of using RxCS toolbox . It shows how to generate a multitone random signal using the toolbox. You can find the example here . More examples will appear in the near future.

# “RxCS” toolbox v0.01 is ready

“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.