计算某些非平稳 ARMA 向量源的数据压缩基本极限

IF 0.5 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS Problems of Information Transmission Pub Date : 2024-08-07 DOI:10.1134/s0032946024010010
J. Gutiérrez-Gutiérrez, Í. Barasoain-Echepare, M. Zárraga-Rodríguez, X. Insausti
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引用次数: 0

摘要

本文计算了某些非平稳实高斯自回归移动平均(ARMA)矢量源的差分熵率和率失真函数(RDF)。
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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Computation of the Fundamental Limits of Data Compression for Certain Nonstationary ARMA Vector Sources

In the present article, the differential entropy rate and the rate distortion function (RDF) are computed for certain nonstationary real Gaussian autoregressive moving average (ARMA) vector sources.

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来源期刊
Problems of Information Transmission
Problems of Information Transmission 工程技术-计算机:理论方法
CiteScore
2.00
自引率
25.00%
发文量
10
审稿时长
>12 weeks
期刊介绍: Problems of Information Transmission is of interest to researcher in all fields concerned with the research and development of communication systems. This quarterly journal features coverage of statistical information theory; coding theory and techniques; noisy channels; error detection and correction; signal detection, extraction, and analysis; analysis of communication networks; optimal processing and routing; the theory of random processes; and bionics.
期刊最新文献
Prediction of Locally Stationary Data Using Expert Advice Correcting a Single Error in an Asymmetric Feedback Channel Computation of the Fundamental Limits of Data Compression for Certain Nonstationary ARMA Vector Sources On Measuring the Topological Charge of Anyons Elementary Solution to the Fair Division Problem
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