Abstract: In this letter, a novel approach based on dynamic graph convolutional neural networks (DGCNNs) is proposed to analyze the quasi-periodic array consisting of the cells with different ...
Abstract: The performance of synthetic aperture radar degrades when its moving platform is perturbed with unknown position errors or received signals are interfered by strong random noise. Therefore, ...