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Titlebook: Nonlinear Digital Filters; Principles and Appli I. Pitas,A. N. Venetsanopoulos Book 1990 Springer Science+Business Media New York 1990 Adap

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Adaptive Nonlinear Filters,l. However, this is not usually the case in many applications of nonlinear filtering, especially in image processing. Images can be modeled as two-dimensional stochastic processes, whose statistics vary in the various image regions. Images are nonstationary processes. Furthermore the noise statistic
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Algorithms and Architectures,essing routines, especially for applications where real-time image processing is required. This problem mainly results from the amount of the data to be processed (e.g., 256K bytes for a single 512×512 8 bit image) as well as from the number of operations required per output pixel. Such operations a
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Book 1990unica­ tions, radar, sonar, remote sensing, geophysical signal processing, image pro­ cessing, and computer vision. Numerous authors have considered deterministic and statistical approaches for the study of passive, active, digital, multidimen­ sional, and adaptive filters. Most of the filters consi
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Image Formation, TV cameras). Thus it is very difficult to build an image formation model that can encompass this enormous variety of radiation sources and image formation systems. The model described in Figure 3.1.1 is quite general and can be used in various digital image processing and computer vision applications.
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Globular Clusters in the Local Group,nehmen und Personenunternehmen. Das gilt auch für die steuerliche Behandlung von Veräußerungs- und Umwandlungsvorgängen. Dagegen unterscheidet sich die Besteuerung von Schenkungen und Erwerben von Todes wegen beim Übergang einer Beteiligung an einer GmbH nicht wesentlich von der beim Übergang einer
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