降低噪声结构对期望信号提取精度的影响

Q3 Engineering

Serbian Journal of Electrical Engineering Pub Date : 2018-01-01 DOI:10.2298/SJEE1803365M

V. Marchuk

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引用次数: 7

摘要

本文讨论了噪声分量结构分析中存在的问题，并提出了减少噪声分量数学期望估计误差的方法。采用本文提出的“噪声净化”方法，可以减小研究过程中估计噪声分量的数学期望和色散时噪声结构带来的误差。本文的主要科学贡献是提高随机过程参数估计的精度。这些理论结果可以应用于随机过程具有一定结构时的数据分析和信号处理的各个领域。

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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Reducing of noise structure influence on an accuracy of a desired signal extraction

In the paper, the issues regarding the analysis of the noise component structure are addressed and methods for reducing the error in estimating of the mathematical expectation of the noise component are proposed. The use of the proposed method of “noise purification” makes possibility to reduce the error introduced by the noise structure when estimating the mathematical expectation and dispersion of the noise component during research. The main scientific contribution in this paper in accuracy increasing of random processes parameters estimation. These theoretical results can be applied in different spheres of data analyzing and signal processing when random processes have some structure.

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来源期刊

Serbian Journal of Electrical Engineering Energy-Energy Engineering and Power Technology

CiteScore

1.30

自引率

0.00%

发文量

审稿时长

25 weeks

期刊介绍： The main aims of the Journal are to publish peer review papers giving results of the fundamental and applied research in the field of electrical engineering. The Journal covers a wide scope of problems in the following scientific fields: Applied and Theoretical Electromagnetics, Instrumentation and Measurement, Power Engineering, Power Systems, Electrical Machines, Electrical Drives, Electronics, Telecommunications, Computer Engineering, Automatic Control and Systems, Mechatronics, Electrical Materials, Information Technologies, Engineering Mathematics, etc.