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Titlebook: Discrete-time Stochastic Systems; Estimation and Contr T. Söderström Textbook 2002Latest edition Springer-Verlag London 2002 Markov chain.M

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书目名称Discrete-time Stochastic Systems
副标题Estimation and Contr
编辑T. Söderström
视频video
概述Each chapter has exercises at the end for self study and the answers to many of these are included in an appendix.Includes supplementary material:
丛书名称Advanced Textbooks in Control and Signal Processing
图书封面Titlebook: Discrete-time Stochastic Systems; Estimation and Contr T. Söderström Textbook 2002Latest edition Springer-Verlag London 2002 Markov chain.M
描述.Discrete-time Stochastic Systems. gives a comprehensive introduction to the estimation and control of dynamic stochastic systems and provides complete derivations of key results such as the basic relations for Wiener filtering. The book covers both state-space methods and those based on the polynomial approach. Similarities and differences between these approaches are highlighted. Some non-linear aspects of stochastic systems (such as the bispectrum and extended Kalman filter) are also introduced and analysed. The books chief features are as follows: inclusion of the polynomial approach provides alternative and simpler computational methods than simple reliance on state-space methods; algorithms for analysis and design of stochastic systems allow for ease of implementation and experimentation by the reader; the highlighting of spectral factorization gives appropriate emphasis to this key concept often overlooked in the literature; explicit solutions of Wiener problems are handy schemes, well suited for computations compared with more commonly available but abstract formulations; complex-valued models that are directly applicable to many problems in signal processing and communicat
出版日期Textbook 2002Latest edition
关键词Markov chain; Markov process; Measure; Probability theory; Random variable; actor; algorithms; communicatio
版次2
doihttps://doi.org/10.1007/978-1-4471-0101-7
isbn_softcover978-1-85233-649-3
isbn_ebook978-1-4471-0101-7Series ISSN 1439-2232 Series E-ISSN 2510-3814
issn_series 1439-2232
copyrightSpringer-Verlag London 2002
The information of publication is updating

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发表于 2025-3-21 20:18:12 | 显示全部楼层
1439-2232 th more commonly available but abstract formulations; complex-valued models that are directly applicable to many problems in signal processing and communicat978-1-85233-649-3978-1-4471-0101-7Series ISSN 1439-2232 Series E-ISSN 2510-3814
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978-1-85233-649-3Springer-Verlag London 2002
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Marina Tomić Maksan,Ružica BrečićIn this chapter stochastic models are analyzed in various ways. The following issues will be treated.
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PGI Buon Ma Thuot Coffee in VietnamIn this chapter, the basis for optimal estimation methods is presented. By an optimal estimate we mean one that gives as small an error as possible. In many cases it is appropriate to measure the goodness of an estimate by the estimation error variance.
发表于 2025-3-22 22:22:00 | 显示全部楼层
Amal Othman,Hosni Ghazala,Ismael M. IbraheemThe general state estimation problem for linear systems is formulated and discussed in this section.
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Mustafa El-Rawy,Abdelazim M. NegmIn this chapter, a simple example is analyzed in detail. Both the state space and the polynomial approaches are used.
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