To determine the appropriateness of statistical models using the truncated Gaussian distribution and gamma distribution for diffusion signal decay, and to assess the correlation between the parameters ...

The Gaussian Q-function is a fundamental statistical tool that plays a pivotal role in the analytical assessment of error probabilities within communication systems ...

Abstract: Accurate object detection depends on the precise refinement of bounding box regression. Recent advancements in bounding box regression have introduced a variety of methodologies aimed at ...

Abstract: This work develops a novel framework for the performance evaluation of communication systems with receive diversity, in which the probability density function (PDF) statistic is formulated ...

This Chalk Talk highlights applications of a discrete Gaussian in various areas, following a 2025 paper by Chinta, Jorgenson, Karlsson, and Smajlović. The topics include heat diffusion, Bessel ...

An algorithm for the decomposition of a mixture of Gaussian components is given, partially in Algol-60 language, and experiences with its use on a digital computer are described. The algorithm ...

Researchers have discovered a new mechanism to explain stochastic resonance, in which sensitivity to weak signals is enhanced by noise. The finding is expected to help electronic devices become ...

Cardiac contraction is the result of integrated cellular, tissue and organ function. Biophysical in silico cardiac models offer a systematic approach for studying these multi-scale interactions. The ...