Abstract: Recently, the information bottleneck method, a machine learning framework, was incorporated in several communication engineering related applications. However, most of these applications are ...

CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...

Abstract: As the Gaussian distribution is the most widely used distribution, all its major aspects are extensively discussed in this chapter. We then highlight that the Gaussian distribution is also ...

Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...

Random Number Generation Project This project implements custom random number generators using Python, covering both univariate and multivariate Gaussian distributions. The key features include: ...

In the first part of the course, we will start with an introduction to the Gaussian free field (GFF), which is an object which has been at the heart of some recent groundbreaking developments in ...

The block diagram, with most of the signals listed, is shown below. The schematic, as generated by Vivado, is shown below. Uniform random is created using the FPGA ...