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Scanning transmission electron microscopy images can be complex to interpret on the atomic scale as the contrast is sensitive to multiple factors such as sample thickness, composition, defects and aberrations. Simulations are commonly used to validate or interpret real experimental images, but they come at a cost of either long computation times or specialist hardware such as graphics processing units...
The realisation of sensing modalities based on the principles of compressed sensing is often hindered by discrepancies between the mathematical model of its sensing operator, which is necessary during signal recovery, and its actual physical implementation, which can amply differ from the assumed model. In this paper we tackle the bilinear inverse problem of recovering a sparse input signal and some...
In this study, a group of wireless sensors are tasked to trace indoor obstacles without the need to sense them, directly. The authors introduce a novel framework based on compressed sensing theory that allows sensors to map two-dimensional spatial details, non-invasively. By exploiting an alternative projection method which reduces the randomness nature of previous works, the resulting measurement...
Seeker is widely used in literature of radar. The goal of this paper is designing a dual mode monopulse antenna for seeker. The dual mode technology is widely used in passive and active seekers. In this technology, antenna radiation and infrared sensor are used for target detection. Thus, the angle of target in azimuth plane is precisely detected. In this paper, a dual mode slot array antenna in X-band...
In this paper, a group of outdoor wireless sensors are assigned to trace the indoor barriers. We introduce a framework based on compressive sensing theory that allows sensors to map the 2D spatial details of a building non-invasively. By exploiting an alternative projection method, called fan-beam, sensors can efficiently observe area indirectly. It is also shown that how sparse representation of...
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