基于奈曼-皮尔逊准则的线性滤波器对平均值变化稳定性的实证研究

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS

AUTOMATIC CONTROL AND COMPUTER SCIENCES Pub Date : 2024-02-29 DOI:10.3103/S0146411623080199

R. A. Ognev, D. P. Zegzhda

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引用次数: 0

摘要

摘要--基于奈曼-皮尔逊准则建立的线性滤波器的稳定性声明通过伪造实验得到了验证。没有发现噪声协方差矩阵的小特征值数量与网络稳定性之间有任何关系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Empirical Study of the Stability of a Linear Filter Based on the Neyman–Pearson Criterion to Changes in the Average Values

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Empirical Study of the Stability of a Linear Filter Based on the Neyman–Pearson Criterion to Changes in the Average Values

The statement about the stability of a linear filter built based on the Neyman–Pearson criterion is verified by performing falsifying experiments. No relationship is found between the number of small eigenvalues of the noise covariance matrix and network stability.

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来源期刊

AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-

CiteScore

1.70

自引率

22.20%

发文量

期刊介绍： Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision