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Titlebook: Methods of Signal Processing for Adaptive Antenna Arrays; Larysa Titarenko,Alexander Barkalov Book 2013 Springer-Verlag Berlin Heidelberg

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楼主: 削木头
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Larysa Titarenko,Alexander Barkalovr Drucktensor in der Hydromechanik oder der Feldstärke- und Leitfähigkeitstensor in der Elektrodynamik. Da alle diese Anwendungen die Kenntnisse von Matrizen und Matrixmanipulation voraussetzen, wollen wir hier einen genaueren Blick auf letztere werfen.
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Introduction,uced to some alteration of classical algorithms. The most popular solution is reduced to usage of additional constraints. There are some known heuristic solutions which allow increase of ASSP quality under a-priory uncertainty of the input signal. But there is no solution, which permits to increase
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1860-4862 ofessionals, students and PhD students in the area of telecommunications and should be useful for everybody connected with the new information technologies..978-3-642-42806-7978-3-642-32132-0Series ISSN 1860-4862 Series E-ISSN 1860-4870
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Book 2013sented in the book.  “Methods of Signal Processing for Adaptive Antenna Arrays” targets professionals, students and PhD students in the area of telecommunications and should be useful for everybody connected with the new information technologies..
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Background of ASSP with Not Exactly Known Parameters,e last part of the chapter is devoted to construction of optimization tasks with different restrictions such as quadratic restriction (conditional inequality), mixed restriction, and generalized mixed restriction.
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Book 2013to the development of this theory, which is very important in connection with wide spreading of telecommunications and radio links in the modern society. This theory can be applied for the development of effective radio communications. In the book some original approaches are proposed targeting the
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Features of ASSP under Different Levels of A-Priori Uncertainty, part of the chapter deals with the spatial signal processing under generalized parametric uncertainty about the noise properties. The last part is devoted to signal processing under a-priory parametric uncertainty about the noise properties.
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