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Titlebook: Linear Stochastic Systems; A Geometric Approach Anders Lindquist,Giorgio Picci Book 2015 Springer-Verlag Berlin Heidelberg 2015 Markovian R

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發(fā)表于 2025-3-21 16:31:15 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Linear Stochastic Systems
副標(biāo)題A Geometric Approach
編輯Anders Lindquist,Giorgio Picci
視頻videohttp://file.papertrans.cn/587/586419/586419.mp4
概述Maximizes reader insights into stochastic modeling, estimation, system identification, and time series analysis.Reveals the concepts of stochastic state space and state space modeling to unify the ide
叢書名稱Series in Contemporary Mathematics
圖書封面Titlebook: Linear Stochastic Systems; A Geometric Approach Anders Lindquist,Giorgio Picci Book 2015 Springer-Verlag Berlin Heidelberg 2015 Markovian R
描述This book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regarding stationary processes dealt with in the beginning of the book have a long history, starting in the 1940s with the work of Kolmogorov, Wiener, Cramér and his students, in particular Wold, and have since been refined and complemented by many others. Problems concerning the filtering and modeling of stationary random signals and systems have also been addressed and studied,?fostered by the advent of modern digital computers, since?the fundamental work of R.E. Kalman in the early?1960s. The book offers a unified and logically consistent view of the subject based on simple ideas from Hilbert space geometry and coordinate-free thinking. In this framework, the concepts of stochastic state space and state space modeling, based on the notionof the conditional independence of past and future flows of the relevant signals, are revealed to be fundamentally unifying ideas. The book, based on over 30 years of original research, represents a valuable contribu
出版日期Book 2015
關(guān)鍵詞Markovian Representations; Splitting Subspaces; Stochastic Systems; Wold Decomposition; modeling of stat
版次1
doihttps://doi.org/10.1007/978-3-662-45750-4
isbn_softcover978-3-662-52618-7
isbn_ebook978-3-662-45750-4Series ISSN 2364-009X Series E-ISSN 2364-0103
issn_series 2364-009X
copyrightSpringer-Verlag Berlin Heidelberg 2015
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https://doi.org/10.1007/978-3-662-45750-4Markovian Representations; Splitting Subspaces; Stochastic Systems; Wold Decomposition; modeling of stat
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Linear Stochastic Systems978-3-662-45750-4Series ISSN 2364-009X Series E-ISSN 2364-0103
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2364-009X hastic state space and state space modeling to unify the ideThis book presents a treatise on the theory and modeling of second-order stationary processes, including an exposition on selected application areas that are important in the engineering and applied sciences. The foundational issues regardi
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ignals and their corresponding reception by specialized cells have led to identification, characterization, purification, cloning, and expression of specific receptor molecules. While the earlier literature emphasized com- partmentalized treatment of informational molecules and their interaction wit
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