|
![]() |
|||
|
||||
OverviewThis text discusses 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 book 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. Full Product DetailsAuthor: Telman AlievPublisher: Springer Science+Business Media Imprint: Kluwer Academic/Plenum Publishers Edition: 2003 ed. Dimensions: Width: 15.50cm , Height: 1.90cm , Length: 23.50cm Weight: 1.060kg ISBN: 9780306474798ISBN 10: 0306474794 Pages: 199 Publication Date: 31 January 2003 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsT.A. Aliev obtains important results on interference analysis of noisy signals. They offer great possibilities and prospects for solving numerous problems of statistical analysis while not fulfilling the known classical conditions. His results on interference analysis are completely unexpected and of great practical importance. <br>(K.A. Pupkov, Moscow State Technical University) """T.A. Aliev obtains important results on interference analysis of noisy signals. They offer great possibilities and prospects for solving numerous problems of statistical analysis while not fulfilling the known classical conditions. His results on interference analysis are completely unexpected and of great practical importance."" (K.A. Pupkov, Moscow State Technical University)" T.A. Aliev obtains important results on interference analysis of noisy signals. They offer great possibilities and prospects for solving numerous problems of statistical analysis while not fulfilling the known classical conditions. His results on interference analysis are completely unexpected and of great practical importance. (K.A. Pupkov, Moscow State Technical University) Author InformationTab Content 6Author Website:Countries AvailableAll regions |