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Generalized stochastic processes: modelling and applications of noise processes

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...

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Detalles Bibliográficos
Autor principal: Schäffler, Stefan
Lenguaje:eng
Publicado: Springer 2018
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-78768-8
http://cds.cern.ch/record/2628732
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author Schäffler, Stefan
author_facet Schäffler, Stefan
author_sort Schäffler, Stefan
collection CERN
description 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.
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spelling cern-26287322021-04-21T18:46:25Zdoi:10.1007/978-3-319-78768-8http://cds.cern.ch/record/2628732engSchäffler, StefanGeneralized stochastic processes: modelling and applications of noise processesMathematical Physics and MathematicsThis 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.Springeroai:cds.cern.ch:26287322018
spellingShingle Mathematical Physics and Mathematics
Schäffler, Stefan
Generalized stochastic processes: modelling and applications of noise processes
title Generalized stochastic processes: modelling and applications of noise processes
title_full Generalized stochastic processes: modelling and applications of noise processes
title_fullStr Generalized stochastic processes: modelling and applications of noise processes
title_full_unstemmed Generalized stochastic processes: modelling and applications of noise processes
title_short Generalized stochastic processes: modelling and applications of noise processes
title_sort generalized stochastic processes: modelling and applications of noise processes
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-319-78768-8
http://cds.cern.ch/record/2628732
work_keys_str_mv AT schafflerstefan generalizedstochasticprocessesmodellingandapplicationsofnoiseprocesses