Generalized Stochastic Processes: Modelling and Applications of Noise Processes

Author:   Stefan Schäffler
Publisher:   Birkhauser Verlag AG
Edition:   1st ed. 2018
ISBN:  

9783319787671


Pages:   183
Publication Date:   03 July 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Generalized Stochastic Processes: Modelling and Applications of Noise Processes


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Overview

This textbook shall serve a double purpose: first of all, it is a book about generalized stochastic processes, a very important but highly neglected part of probability theory which plays an outstanding role in noise modelling. Secondly, this textbook is a guide to noise modelling for mathematicians and engineers to foster the interdisciplinary discussion between mathematicians (to provide effective noise models) and engineers (to be familiar with the mathematical backround of noise modelling in order to handle noise models in an optimal way).Two appendices on ""A Short Course in Probability Theory"" and ""Spectral Theory of Stochastic Processes"" plus a well-choosen set of problems and solutions round this compact textbook off.

Full Product Details

Author:   Stefan Schäffler
Publisher:   Birkhauser Verlag AG
Imprint:   Birkhauser Verlag AG
Edition:   1st ed. 2018
Weight:   0.454kg
ISBN:  

9783319787671


ISBN 10:   3319787675
Pages:   183
Publication Date:   03 July 2018
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Generalized Functions.- Stochastic Processes.- Stochastic Differential Equations.- Generalized Random Fields.

Reviews

The book is written with great pedagogical care to serve as an introductory textbook for engineers on the topic of generalized stochastic processes, but it may also represent a valuable reference to a broad audience of researchers who work in the field of stochastic calculus. (Dora Selesi, zbMATH 1436.60001, 2020)


Author Information

Prof. Dr. Dr. Stefan Schäffler, University of the Bundeswehr Munich, Faculty of Electrical Engineering and Information Technology, Chair of Mathematics and Operations Research

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