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Titlebook: Noise signals; Modelling and Analys Vitalii Babak,Artur Zaporozhets,Leonid Scherbak Book 2025 The Editor(s) (if applicable) and The Author(

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发表于 2025-3-21 19:43:00 | 显示全部楼层 |阅读模式
书目名称Noise signals
副标题Modelling and Analys
编辑Vitalii Babak,Artur Zaporozhets,Leonid Scherbak
视频video
概述Illustrates the identification of stochastic noise signals.Helps identifying the vibration noise signals from electric power facilities for assessing their actual condition.Focuses on stochastic model
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Noise signals; Modelling and Analys Vitalii Babak,Artur Zaporozhets,Leonid Scherbak Book 2025 The Editor(s) (if applicable) and The Author(
描述.The book meticulously details a constructive mathematical model of a stochastic noise process, specifically a linear random process and its characteristics. Theoretical reasoning on the relationship between random processes with independent increments and those with independent values, known as random processes of white noise, is provided. The model of a linear random process serves as a mathematical representation of colored noises in various hues. Characteristics of both non-stationary and stationary linear random processes are elucidated, with emphasis on their ergodic properties, crucial for practical applications. The study also encompasses the vector linear random process, portraying a model of multi-channel noise signals. A novel contribution to the theory of random functions is the development of a constructive model of a conditional linear random process. This involves determining its distribution laws in the form of a characteristic function and relevant statistical characteristics, which can serve as potential indicators for identifying stochastic noise processes. The book revisits research on periodic stochastic models, examining cyclic, rhythmic, natural, and artifici
出版日期Book 2025
关键词Noise signals; Electric Power Facilities; Stochastic Noise signals; Ultrasonic flaw detection systems; A
版次1
doihttps://doi.org/10.1007/978-3-031-71093-3
isbn_softcover978-3-031-71095-7
isbn_ebook978-3-031-71093-3Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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发表于 2025-3-21 21:36:01 | 显示全部楼层
Vitalii Babak,Artur Zaporozhets,Yurii Kuts,Mykhailo Fryz,Leonid Scherbakission ratios. The transmission and its associated assemblies are presented in detail, providing a clear understanding for training and practical applications. Other components of the drivetrain such as the propeller shaft, the clutch and the retarder are also discussed. .978-3-662-60850-0Series ISSN 2747-4046 Series E-ISSN 2747-4054
发表于 2025-3-22 01:27:08 | 显示全部楼层
Vitalii Babak,Artur Zaporozhets,Yurii Kuts,Mykhailo Fryz,Leonid Scherbakission ratios. The transmission and its associated assemblies are presented in detail, providing a clear understanding for training and practical applications. Other components of the drivetrain such as the propeller shaft, the clutch and the retarder are also discussed. .978-3-662-60850-0Series ISSN 2747-4046 Series E-ISSN 2747-4054
发表于 2025-3-22 05:58:10 | 显示全部楼层
Problems of Noise Signals Research,scopy, acoustic impedance defectoscopy, vibration noise signals, electrophysiological signals generated by the electrical activity of the human brain and muscles, and more. The structural-logical scheme of object-oriented identification of noisy signals has been discussed. In this scheme, physical p
发表于 2025-3-22 10:19:23 | 显示全部楼层
发表于 2025-3-22 13:33:01 | 显示全部楼层
Method of Envelope and Phase in the Tasks of Identification of Narrowband Noise Signals, in time. The probability densities of the envelope and phase are investigated for both narrowband noise stochastic processes and the additive mixture of amplitude-phase-modulated signal and Gaussian noise. Considerable attention is devoted to the use of phase characteristics in the identification t
发表于 2025-3-22 20:31:13 | 显示全部楼层
Identification of Vibration Noise Signals of Electric Power Facilities,tically estimating empirical distribution laws of stationary vibroacoustic signals using smoothing curves from the Pearson curve system is provided. The final section of the fifth chapter presents a model and identification characteristics of vibroacoustic signals from power industry objects.
发表于 2025-3-22 21:40:23 | 显示全部楼层
Examples of Stochastic Noise Signals Identification,rent period of usage. These examples do not cover all potential identification characteristics of noisy signals. The rapid development of information technologies and their application in creating modern hardware and software monitoring, identification, and diagnostics systems for technical systems,
发表于 2025-3-23 02:42:42 | 显示全部楼层
Identification of Air Pollution Sources, In addressing PMF’s computational challenges, the chapter describes two approaches for scaling coefficient calculations, thus enhancing precision in the construction of source profiles and contributions. The integration of the polyline method, predictor–corrector technique, and steepest descent opt
发表于 2025-3-23 07:47:14 | 显示全部楼层
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