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This thesis deals with the study of image processing algorithms which can be implemented by pulse-coupled neural nets. The inspiration for this choice is taken from biological image processing, which achieves with little computational effort in highly parallel processes image analysis tasks such as object recognition, image segmentation, velocity and distance estimation, etc. Conventional, serially implemented algorithms either cannot realize those tasks at all or will expend significantly more effort. Because the first stages of the visual system comprise a sensor interface, they are comparatively accessible with respect to defining their transfer or processing function. Some of those processing functions or principles are to be used in hardware implementations, with the focus on duplicating especially the highly parallel processing.
The Beginners Lab Course in Physics is scheduled very early in the course of studies not only for students of physics but also for students for which physics is a minor subject. We provide all partipants with several auxilliary materials for the prep
Steven Jones et al. reported to have observed nuclear fusion at room temperature. They observed this cold fusion by electrolyzing heavy water. Later experiments confirmed these observations. These experiments confirmed the generation of strong electr
This activity was created within the framework of the Space for Education project, which aims at experiencing physical principles on the basis of topics related to space travel. This work enables the students to understand how a rocket brings crews i
von Willebrand Factor is a mechano-sensitive protein circulating in blood that mediates platelet adhesion to subendothelial collagen and platelet aggregation at high shear rates. Its hemostatic function and thrombogenic effect, as well as susceptibil
We study the learnability of a class of compact operators known as Schatten--von Neumann operators. These operators between infinite-dimensional function spaces play a central role in a variety of applications in learning theory and inverse problems.