DEEP FUSION FOR RADAR JAMMING SIGNAL CLASSIFICATION BASED ON CNN

Deep Fusion for Radar Jamming Signal Classification Based on CNN

The accurate classification of radar jamming signal is a core step of anti-jamming.Recently, convolutional neural network (CNN) based methods have shown their powerfulness in signal processing.In this paper, a deep fusion method based on CNN is proposed to kicker pro comp 10 classify jamming signal acting on pulse compression radar.The proposed met

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Coded access optical sensor (CAOS) imager

High spatial resolution, low inter-pixel crosstalk, high signal-to-noise ratio (SNR), adequate application dependent speed, economical and echofix spring reverb energy efficient design are common goals sought after for optical image sensors.In optical microscopy, overcoming the diffraction limit in spatial resolution has been achieved using materia

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ACTIVE NETWORK SECURITY BASED RSA ALGORITHM

The difficulty of building a soderhamn ottoman cover secure network is due to the changing nature of the enterprise coupled with the increasing sophistication of the hacker threat, both from inside and outside of the network.Active networks enable individual user or groups of users to inject customized programs into the nodes of the network.The pro

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