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Titlebook: Optimal Filtering; Volume II: Spatio-Te Vladimir Fomin Book 1999 Springer Science+Business Media Dordrecht 1999 Signal.algorithm.filters.fu

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书目名称Optimal Filtering
副标题Volume II: Spatio-Te
编辑Vladimir Fomin
视频video
丛书名称Mathematics and Its Applications
图书封面Titlebook: Optimal Filtering; Volume II: Spatio-Te Vladimir Fomin Book 1999 Springer Science+Business Media Dordrecht 1999 Signal.algorithm.filters.fu
描述In this volume the investigations of filtering problems, a start on which has been made in [55], are being continued and are devoted to theoretical problems of processing stochastic fields. The derivation of the theory of processing stochastic fields is similar to that of the theory extensively developed for stochastic processes (‘stochastic fields with a one-dimensional domain‘). Nevertheless there exist essential distinctions between these cases making a construction of the theory for the multi-dimensional case in such a way difficult. Among these are the absence of the notion of the ‘past-future‘ in the case of fields, which plays a fundamental role in constructing stochastic processes theory. So attempts to introduce naturally the notion of the causality (non-anticipativity) when synthesising stable filters designed for processing fields have not met with success. Mathematically, principal distinctions between multi-dimensional and one-dimensional cases imply that the set of roots of a multi-variable polyno­ mial does not necessary consist of a finite number of isolated points. From the main theorem of algebra it follows that in the one-dimensional case every poly­ nomial of de
出版日期Book 1999
关键词Signal; algorithm; filters; functional analysis; linear optimization; information and communication, circ
版次1
doihttps://doi.org/10.1007/978-94-011-4691-3
isbn_softcover978-94-010-5974-9
isbn_ebook978-94-011-4691-3
copyrightSpringer Science+Business Media Dordrecht 1999
The information of publication is updating

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Vladimir Fomin weak convergence results pertaining to the partial sum process given in Theorems 2. 2. 6 . and 2. 2. 7 are found useful in fitting a parametric autoregressive model as is expounded in Section 7. 7 in some detail. Section 6. 6 discusses the related problem of fit­ ting a regression model, using a ce
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Vladimir Fomine study is provided to exemplify the discussed supposition that microcell (base stations well below the surrounding buildings clutter with low transmitter power) system design minimizes microwave OFS interference and their immediate relocation. Practical interference calculations between different w
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cally, principal distinctions between multi-dimensional and one-dimensional cases imply that the set of roots of a multi-variable polyno­ mial does not necessary consist of a finite number of isolated points. From the main theorem of algebra it follows that in the one-dimensional case every poly­ nomial of de978-94-010-5974-9978-94-011-4691-3
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