Non-stationary Electromagnetics, Nerukh, Alexander

Автор: Nerukh
Название: Non-Stationary Electromagnetics
ISBN: 9814774952 ISBN-13(EAN): 9789814774956
Издательство: Taylor&Francis
Цена: 21284.00 р.
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Описание: This book is devoted to the investigations of non-stationary electromagnetic processes. The investigations are undertaken analytically mainly using the integral Volterra equation approach. The book contains a systematic statement of the Volterra integral equation method for the investigations of electrodynamics phenomena.

Автор: Nerukh
Название: Non-Stationary Electromagnetics
ISBN: 9814774952 ISBN-13(EAN): 9789814774956
Издательство: Taylor&Francis
Рейтинг:
Цена: 21284.00 р.
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Описание: This book is devoted to the investigations of non-stationary electromagnetic processes. The investigations are undertaken analytically mainly using the integral Volterra equation approach. The book contains a systematic statement of the Volterra integral equation method for the investigations of electrodynamics phenomena.

Автор: Giorgio Dalpiaz; Riccardo Rubini; Gianluca D`Elia;
Название: Advances in Condition Monitoring of Machinery in Non-Stationary Operations
ISBN: 3642393470 ISBN-13(EAN): 9783642393471
Издательство: Springer
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Цена: 25077.00 р.
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Описание: This book presents the processing of the third edition of the Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO13), which was held in Ferrara, Italy.

Автор: Moamar Sayed-Mouchaweh; Edwin Lughofer
Название: Learning in Non-Stationary Environments
ISBN: 1489993401 ISBN-13(EAN): 9781489993403
Издательство: Springer
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Цена: 18237.00 р.
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Описание: This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It presents recent methods and approaches for the design of systems able to learn and adapt.

Автор: Tahar Fakhfakh; Walter Bartelmus; Fakher Chaari; R
Название: Condition Monitoring of Machinery in Non-Stationary Operations
ISBN: 366250846X ISBN-13(EAN): 9783662508466
Издательство: Springer
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Цена: 34195.00 р.
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Описание: Condition monitoring in non-stationary operations.- Modelling of dynamics and fault in systems.- Signal processing and Pattern recognition for condition monitoring.- Monitoring and diagnostic systems.- Noise and vibration of machines.

Автор: Simon P. Burke; John Hunter; Alessandra Canepa
Название: Multivariate Modelling of Non-Stationary Economic Time Series
ISBN: 0230243312 ISBN-13(EAN): 9780230243316
Издательство: Springer
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Цена: 7317.00 р.
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Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.

Автор: Jose Maria Giron-Sierra
Название: Digital Signal Processing with Matlab Examples, Volume 1
ISBN: 9811025339 ISBN-13(EAN): 9789811025334
Издательство: Springer
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Цена: 13415.00 р.
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Описание: The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study.

Автор: Beenstock, Michael, Felsenstein, Daniel
Название: The Econometric Analysis of Non-Stationary Spatial Panel Data
ISBN: 3030036138 ISBN-13(EAN): 9783030036133
Издательство: Springer
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Цена: 12196.00 р.
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Описание: This monograph deals with spatially dependent non-stationary time series in a way accessible to both time series econometricians wanting to understand spatial econometics, and spatial econometricians lacking a grounding in time series analysis.

Автор: Simon P. Burke; John Hunter; Alessandra Canepa
Название: Multivariate Modelling of Non-Stationary Economic Time Series
ISBN: 0230243304 ISBN-13(EAN): 9780230243309
Издательство: Springer
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Цена: 24392.00 р.
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Описание: This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models.

Автор: Markus Zenner
Название: Learning to Become Rational
ISBN: 3540612793 ISBN-13(EAN): 9783540612797
Издательство: Springer
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Цена: 10610.00 р.
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Описание: This is a study on the asymptotic behaviour of boundedly rational learning procedures in self-referential models. It reports important results of current research on this topic, results which extend the boundedly rational learning appraoch.

Автор: Alfonso Fernandez Del Rincon; Fernando Viadero Rue
Название: Advances in Condition Monitoring of Machinery in Non-Stationary Operations
ISBN: 3030112195 ISBN-13(EAN): 9783030112196
Издательство: Springer
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Цена: 26832.00 р.
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Описание: This book is aimed at researchers, industry professionals and students interested in the broad ranges of disciplines related to condition monitoring of machinery working in non-stationary conditions. Each chapter, accepted after a rigorous peer-review process, reports on a selected, original piece of work presented and discussed at the International Conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO’2018, held on June 20 – 22, 2018, in Santander, Spain. The book describes both theoretical developments and a number of industrial case studies, which cover different topics, such as: noise and vibrations in machinery, conditioning monitoring in non-stationary operations, vibro-acoustic diagnosis of machinery, signal processing, application of pattern recognition and data mining, monitoring and diagnostic systems, faults detection, dynamics of structures and machinery, and mechatronic machinery diagnostics.

Автор: S. Burke; J. Hunter
Название: Modelling Non-Stationary Economic Time Series
ISBN: 1403902038 ISBN-13(EAN): 9781403902030
Издательство: Springer
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Цена: 4877.00 р.
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Автор: K. Hinderer
Название: Foundations of Non-stationary Dynamic Programming with Discrete Time Parameter
ISBN: 3540049568 ISBN-13(EAN): 9783540049562
Издательство: Springer
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Цена: 13415.00 р.
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Описание: dynamic programming under risk, dynamic programming under uncertainty, Markovian models, stationary models, and models with finite horizon from a unified point of view.