A Note on Improved Treatment of Gaussian Communication Process

IF 1.3 4区物理与天体物理 Q3 PHYSICS, MATHEMATICAL

Open Systems & Information Dynamics Pub Date : 2021-09-01 DOI:10.1142/s1230161221500141

Taihei Takahash, Noboru Watanabe

引用次数: 0

Abstract

In order to discuss the efficiency of information transmission of the Gaussian communication processes consistently, we introduced an entropy type functional and a mutual entropy type functional in reference [16]. In that study, we used the set of Gaussian input measures with covariance operators of trace one. In this paper, we refine the formulation and modify the entropy type complexity and the mutual entropy type complexity to be able to study the efficiency of information transmission for more general input Gaussian measures and Gaussian channels.

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高斯通信过程的改进处理注记

为了一致地讨论高斯通信过程的信息传输效率，我们在文献[16]中引入了熵型泛函和互熵型泛函。在该研究中，我们使用了一组高斯输入测度，协方差算子为跟踪1。在本文中，我们对熵型复杂度和互熵型复杂度的表述进行了改进和修正，以便能够研究更一般的输入高斯测度和高斯信道下的信息传输效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Open Systems & Information Dynamics 工程技术-计算机：信息系统

CiteScore

1.40

自引率

12.50%

发文量

审稿时长

>12 weeks

期刊介绍： The aim of the Journal is to promote interdisciplinary research in mathematics, physics, engineering and life sciences centered around the issues of broadly understood information processing, storage and transmission, in both quantum and classical settings. Our special interest lies in the information-theoretic approach to phenomena dealing with dynamics and thermodynamics, control, communication, filtering, memory and cooperative behaviour, etc., in open complex systems.