Abstract: This letter presents a conditional entropy-constrained multi-stage vector quantization (CEC-MSVQ) framework for semantic communication (SC). The proposed method integrates multi-stage VQ ...

This repository aims to contain definitions and proofs of basic ideas in quantum information theory. Some major goals, in rough order of difficulty, would be ...

QUESTS provides model-free uncertainty and entropy estimation methods for interatomic potentials. Among the methods, we propose a structural descriptor and information-theoretical strategy that: Is ...

ABSTRACT: The study aims to develop a semi-automatic leukocyte tracking (SALT) method to efficiently quantify in vivo leukocyte rolling and adhesion, overcoming the time-consuming limitations of ...

Exactly 200 years ago, a French engineer introduced an idea that would quantify the universe’s inexorable slide into decay. But entropy, as it’s currently understood, is less a fact about the world ...

ABSTRACT: In ultra-high-dimensional data, it is common for the response variable to be multi-classified. Therefore, this paper proposes a model-free screening method for variables whose response ...

Objective: Assessing brain connectivity from electrophysiological signals is of great relevance in neuroscience, but results are still debated and depend crucially on how connectivity is defined and ...

Transfer entropy (TE) is a model-free effective connectivity measure based on information theory. It has been increasingly used in neuroscience because of its ability to detect unknown non-linear ...