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Titlebook: Generalized Stochastic Processes; Modelling and Applic Stefan Sch?ffler Textbook 2018 Springer International Publishing AG, part of Springe

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書目名稱Generalized Stochastic Processes
副標題Modelling and Applic
編輯Stefan Sch?ffler
視頻videohttp://file.papertrans.cn/383/382256/382256.mp4
概述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
叢書名稱Compact Textbooks in Mathematics
圖書封面Titlebook: Generalized Stochastic Processes; Modelling and Applic Stefan Sch?ffler Textbook 2018 Springer International Publishing AG, part of Springe
描述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..
出版日期Textbook 2018
關鍵詞generalized stochastic processes; noise processes; circuit simulation; stochastic integration; generaliz
版次1
doihttps://doi.org/10.1007/978-3-319-78768-8
isbn_softcover978-3-319-78767-1
isbn_ebook978-3-319-78768-8Series ISSN 2296-4568 Series E-ISSN 2296-455X
issn_series 2296-4568
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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https://doi.org/10.1057/9781137492432On the real valued spaces ., ., we use the Euclidean norm.
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Stochastic Processes,Let . be a probability space. Each probability space is a model for a random experimentwith a nonempty set . of the possible ..
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Generalized Random Fields,Let . be a probability space and let . be a measure space.
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