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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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楼主: Bunion
发表于 2025-3-25 06:00:19 | 显示全部楼层
Extraction of Weak Grating Signal in Strong Background Noise Based on MMF-Improved CEEMDAN-TPBSSn dimension and save the decomposition time. The virtual signal detection channel is constructed according to the results of decomposition. Finally, the TPBSS algorithm is used for signal-to-noise separation. The simulation results show that the algorithm can extract the weak grating signal well when it is obliterated by strong noise.
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Research on Face Recognition Algorithms Based on Deep Convolution Generative Adversarial Networkslgorithm can take the intra-class aggregation and class separation into account, making use of MINST and CIFAR-10 data sets to test. Results showed that the model we proposed had obvious advantages in rate of convergence and image recognition rate as compared with other traditional recognition algorithms.
发表于 2025-3-25 19:10:16 | 显示全部楼层
An Efficient Pilot Allocation Scheme for Pilot Contamination Alleviation in Multi-cell Massive MIMO terference (ICI). The edge zone UEs in each sector are assigned with mutually orthogonal pilot sequences due to the higher ICI and to mitigate the PC. The simulation outcomes reveal that the proposed scheme significantly reduces PC, attains lower mean squared error, higher data rate and better SE than conventional pilot allocation techniques.
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An Optimization Method for Feature Extraction of Radiation Sourcesransform, autoencoders train the data and output the encoded signals. Population based training (PBT) is used to optimize the hyperparameters. Compared to the traditional feature extraction methods, the proposed method achieve better result, the classification precision is above 95%.
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