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Titlebook: Signal and Information Processing, Networking and Computers; Proceedings of the 6 Yue Wang,Meixia Fu,Jiaqi Zou Conference proceedings 2020

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Super-Resolution Direction-of-Arrival Estimation with Atomic Norm Minimizationarray in presence of noise has attracted a lot of attention. Accurately estimating the DOAs of signals from the noisy observations is a challenge. With the development of sparse representation theory, atomic norm minimization (ANM) provides a super-resolution algorithm to denoise the observations of
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Research on Face Recognition Algorithms Based on Deep Convolution Generative Adversarial Networksadversarial networks, a method combining deep Convolutional Neural Networks with Generative Adversarial Network for image processing is proposed. Kernel parameters of the initial convolution of the CNN network are initialized by using the Isotropic Sobel operator in the edge detection operator combi
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Conference proceedings 2020 August 13 - 16, 2019. Focusing on the latest advances in information theory, communication systems, computer science, aerospace technologies, big data and other related technologies, it offers a valuable resource for researchers and industrial practitioners alike..
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