Robust Technology with Analysis of Interference in Signal Processing

Robust Technology with Analysis of Interference in Signal Processing by T. A. Aliev, published by Springer Science & Business Media on January 31, 2003, is a comprehensive exploration of the theoretical fundamentals and algorithms related to noise as an information carrier. This edition spans 199 pages and is presented in English, focusing on the development of robust technology for processing noisy signals, applicable across various fields such as petrochemistry, medicine, and aviation.
Readers will find a detailed examination of how this technology addresses challenges in control, identification, diagnostics, and pattern recognition. The text delves into the potential for forecasting failures based on hidden microchanges detected through interference estimates. This monograph serves as a valuable resource for students, postgraduates, engineers, and scientific associates interested in the intersection of signal processing and information technology.
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Robust Technology with Analysis of Interference in Signal Processing discusses for the first time the theoretical fundamentals and algorithms of analysis of noise as an information carrier. On their basis the robust technology of noisy signals processing is developed. This technology can be applied to solving the problems of control, identification, diagnostics, and pattern recognition in petrochemistry, energetics, geophysics, medicine, physics, aviation, and other sciences and industries. The text explores the emergent possibility of forecasting failures on various objects, in conjunction with the fact that failures follow the hidden microchanges revealed via interference estimates. This monograph is of interest to students, postgraduates, engineers, scientific associates and others who are concerned with the processing of measuring information on computers.
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