Noise signals Modelling and Analyses /
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 rand...
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| Main Authors: | , , , , |
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| Autor Corporativo: | |
| Formato: | Recurso Electrónico livro electrónico |
| Idioma: | inglês |
| Publicado em: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Edição: | 1st ed. 2025. |
| Colecção: | Studies in Systems, Decision and Control,
567 |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/978-3-031-71093-3 |
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| 100 | 1 | |a Babak, Vitalii. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Noise signals |h [electronic resource] : |b Modelling and Analyses / |c by Vitalii Babak, Artur Zaporozhets, Yurii Kuts, Mykhailo Fryz, Leonid Scherbak. |
| 250 | |a 1st ed. 2025. | ||
| 264 | 1 | |a Cham : |b Springer Nature Switzerland : |b Imprint: Springer, |c 2025. | |
| 300 | |a 1 online resource (X, 222 p. 58 illus.). |b 32 illus. in color. | ||
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| 490 | 1 | |a Studies in Systems, Decision and Control, |x 2198-4190 ; |v 567 | |
| 505 | 0 | |a Chapter 1. Problems of Noise Signals Research -- Chapter 2. Linear Models of Stochastic Noise Signals -- Chapter 3. Periodic Models of Noise Signals -- Chapter 4. Method of Envelope and Phase in the Tasks of Identification of Narrowband Noise Signals -- Chapter 5. Identification of Vibration Noise Signals of Electric Power Facilities -- Chapter 6. Examples of Stochastic Noise Signals Identification -- Chapter 7. Identification of Air Pollution Sources. | |
| 520 | |a 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 artificial phenomena, processes, and signals. A comprehensive analysis of the linear periodic random process is conducted, and the identification characteristics of periodic models of stochastic noise signals are explored. Significant attention is directed toward employing contour and phase methods as a theoretical foundation for addressing narrow-band noise signal identification challenges. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Electrical engineering. | |
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Noise control. | |
| 650 | 1 | 4 | |a Electrical and Electronic Engineering. |
| 650 | 2 | 4 | |a Digital and Analog Signal Processing. |
| 650 | 2 | 4 | |a Noise Control. |
| 700 | 1 | |a Zaporozhets, Artur. |e author. |0 (orcid)0000-0002-0704-4116 |1 https://orcid.org/0000-0002-0704-4116 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Kuts, Yurii. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Fryz, Mykhailo. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Scherbak, Leonid. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031710926 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031710940 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031710957 |
| 830 | 0 | |a Studies in Systems, Decision and Control, |x 2198-4190 ; |v 567 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-71093-3 |
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| 950 | |a Engineering (R0) (SpringerNature-43712) | ||
| 950 | |a Focus Bundle Electrical and Electronic Engineering (SpringerNature-85403) | ||