Generalized Stochastic Processes: Modelling and Applications of Noise Processes: Compact Textbooks in Mathematics
Autor Stefan Schäffleren Limba Engleză Paperback – 3 iul 2018
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.
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Specificații
ISBN-13: 9783319787671
ISBN-10: 3319787675
Pagini: 183
Ilustrații: XV, 183 p. 69 illus., 1 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.29 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Birkhäuser
Seria Compact Textbooks in Mathematics
Locul publicării:Cham, Switzerland
ISBN-10: 3319787675
Pagini: 183
Ilustrații: XV, 183 p. 69 illus., 1 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.29 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Birkhäuser
Seria Compact Textbooks in Mathematics
Locul publicării:Cham, Switzerland
Cuprins
Generalized Functions.- Stochastic Processes.- Stochastic Differential Equations.- Generalized Random Fields.
Recenzii
“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 Seleši, zbMATH 1436.60001, 2020)
Notă biografică
Prof. Dr. Dr. Stefan Schäffler, University of the Bundeswehr Munich, Faculty of Electrical Engineering and Information Technology, Chair of Mathematics and Operations Research
Textul de pe ultima copertă
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.
Caracteristici
Compact introduction to generalized stochastic processes Excellent guide to noise modelling Provides the basis to build effective noise models Includes well-chosen set of problems and solutions