Noise signals - Vitalii Babak, Artur Zaporozhets, Yurii Kuts, Mykhailo Fryz, Leonid Scherbak

Noise signals

Modelling and Analyses
Buch | Hardcover
X, 222 Seiten
2024
Springer International Publishing (Verlag)
978-3-031-71092-6 (ISBN)
149,79 inkl. MwSt
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.

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.

Erscheinungsdatum
Reihe/Serie Studies in Systems, Decision and Control
Zusatzinfo X, 222 p. 58 illus., 32 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Informatik
Technik Elektrotechnik / Energietechnik
Schlagworte Atmospheric pollution source identification • Electric Power Facilities • Noise signals • Stochastic Noise signals • Ultrasonic flaw detection systems
ISBN-10 3-031-71092-4 / 3031710924
ISBN-13 978-3-031-71092-6 / 9783031710926
Zustand Neuware
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Buch | Softcover (2024)
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