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Optical Compressive Sensing: a new field benefiting from classical optical signal processing techniques

机译:光学压缩感测:受益于经典光学信号处理技术的新领域

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Compressive sensing is a relatively new theory that has introduced a dramatic breakthrough in signal acquisition. In the context of imaging, it asserts that for common types of objects and with proper system design, it is possible to capture N~2-pixel images with much fewer than N~2 measurements. This implies that it is possible to capture signals with a larger space-bandwidth product than that of the system. Implementation of compressive imaging (CI) systems requires optical design that differs drastically from that for conventional imaging. Fortunately, CI design may benefit from concepts previously developed by Prof. Caulfield and others for optical signal processing.
机译:压缩感测是一种相对较新的理论,已在信号采集中引入了重大突破。在成像方面,它断言,对于常见类型的物体并采用适当的系统设计,有可能捕获N〜2像素的图像,而其数量要少于N〜2的测量值。这意味着可以捕获比系统更大的空间带宽乘积的信号。压缩成像(CI)系统的实现要求光学设计与传统成像大不相同。幸运的是,CI设计可能会受益于Caulfield教授和其他人先前为光信号处理开发的概念。

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