Kernel methods have emerged as a powerful tool in adaptive filtering and system identification, enabling the processing and modelling of complex, nonlinear relationships in dynamic systems. By mapping ...

I've been using Savitzky-Golay (SG) filters for quite a while, but always on 1D data, using an implementation based on the algorithm from the Numerical Recipes to calculate the kernel (mask, ...

Department of Electrical and Computer Engineering, University of Alabama at Birmingham, Birmingham, AL, USA Electrical and Computer Engineering Departmental Honors Program, University of Alabama at ...

Much of modern operating system functionality happens in and around the kernel. That’s a problem when you’re implementing monitoring and observability tools or adding low-level security tools because ...

This is a preview. Log in through your library . Abstract Sequential Monte Cario (SMC) methods, also known as particle filters, are simulation-based recursive algorithms for the approximation of the a ...

There's growing interest in a new type of software for Linux machines called BPF, which allows the user to run a program in the kernel and enjoy "observability super powers", according to Brendan ...

Anybody can contribute to the Linux kernel, but any person’s commit suggestion can become the focus of the kernel’s master and namesake, Linus Torvalds. Torvalds is famously not overly committed to ...