Titlebook: Unternehmerischer Wandel; Konzepte zur organis Peter Gomez,Dietger Hahn,Rolf Wunderer Book 1994 Betriebswirtschaftlicher Verlag Dr. Th. Gab

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书目名称Unternehmerischer Wandel影响因子(影响力)




书目名称Unternehmerischer Wandel影响因子(影响力)学科排名




书目名称Unternehmerischer Wandel网络公开度




书目名称Unternehmerischer Wandel网络公开度学科排名




书目名称Unternehmerischer Wandel被引频次




书目名称Unternehmerischer Wandel被引频次学科排名




书目名称Unternehmerischer Wandel年度引用




书目名称Unternehmerischer Wandel年度引用学科排名




书目名称Unternehmerischer Wandel读者反馈




书目名称Unternehmerischer Wandel读者反馈学科排名

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Peter Gomez,Dietger Hahn,Günter Müller-Stewens,Rolf Wunderering.Comprehensive coverage is accompanied by numerous exampl.Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model

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Hans Ulrichtary proof of the theorem under this assumption was given, and an application of the result to the problem of system reduction has also been illustrated. In this chapter, we will study the general AAK theory, see AAK [1971], where the Hankel matrix . is not necessarily of finite rank and may not eve

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Edwin Rühlievel computer vision. .Computer vision has progressed considerably over recent years. Frommethods only applicable to simple images, it has developed to dealwith increasingly complex scenes, volumes and time sequences. Asubstantial part of this book deals with the problem of designingmodels that can

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Hans H. Hinterhuber,Wolfgang Poppation only. The classification serves as the first step of the indexing process of a video scene and its retrieval from a large database in order to partition the database into more manageable sub-units according to the types of scenes, e.g. sport, drama, scenery, news reading. The method is intende

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Peter Gomez,Günter Müller-Stewensltipass algorithms to successively cancel interference from a block of received data and generate symbol decisions whose reliability increases monotonically with each iteration. Two variants of such receivers are discussed: the iterated-decision equalizer and the iterated-decision multiuser detector

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Wilfried Krüger which is able (1) to remove the artifacts and (2) to avoid loss or disruption of the structural information at the same time; thus the risk of introducing bias to data interpretation may be minimized. In this study, an approach (namely, EEMD-ICA) was proposed to first decompose multivariate neural