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Resource allocation in coded aperture sensor systems

机译:编码孔径传感器系统中的资源分配

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摘要

We have previously reported the use of coded aperture for the design of wide area imaging sensors. Such sensors can allow the rate and resolution of the sensed information to be controlled by varying the sequence of codes used to acquire and reconstruct the data. However, since sensor resources are finite, it is essential to develop a framework for optimizing their allocation with respect to dynamic scene content over a large area. In this paper, we discuss an approach for achieving this using the principle of highly optimized tolerance (H.O.T) [1] which provides a theoretical basis for allocating resources in response to events to minimize a user defined loss function. Some results of initial simulations are presented to illustrate the concept.
机译:我们之前报道了使用编码孔径来设计广域成像传感器。这种传感器可以通过改变用于获取和重建数据的代码序列来允许感测信息的速率和分辨率来控制。然而,由于传感器资源是有限的,因此必须开发一个框架,以优化其在大面积上的动态场景内容的分配。在本文中,我们讨论了使用高度优化的公差(H.O.T)[1]的原理实现这一方法的方法,该方法为响应于事件来分配资源来为最小化用户定义的丢失函数来分配资源的理论依据。提出了初始模拟的一些结果以说明概念。

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