Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Peng, Qihang"'
Orthogonal frequency division multiplexing (OFDM) is a widely adopted wireless communication technique but is sensitive to the carrier frequency offset (CFO). For high-mobility environments, severe Doppler shifts cause the CFO to extend well beyond t
Externí odkaz:
http://arxiv.org/abs/2312.16386
Communication systems suffer from the mixed noise consisting of both non-Gaussian impulsive noise (IN) and white Gaussian noise (WGN) in many practical applications. However, there is little literature about the channel capacity under mixed noise. In
Externí odkaz:
http://arxiv.org/abs/2311.08804
Traditionally, a communication waveform is designed by experts based on communication theory and their experiences on a case-by-case basis, which is usually laborious and time-consuming. In this paper, we investigate the waveform design from a novel
Externí odkaz:
http://arxiv.org/abs/2202.01926
Autor:
Peng, Qihang, Huang, Bin, Peng, Linshan, Guo, Dingge, Jin, Tianxiang, Liu, Zhirong, Qian, Yong
Publikováno v:
In Separation and Purification Technology 13 June 2024 337
Autor:
Kang, Zhongcui, Wu, Qian, Peng, Qihang, Deng, Yiting, Xu, Hongxia, Xiao, Yu, Li, Jingda, Li, Shaobin, Li, Jin, Chen, Ying
Publikováno v:
In Arabian Journal of Chemistry March 2024 17(3)
Publikováno v:
In International Journal of Biological Macromolecules January 2024 256 Part 2
Modulation recognition using deep neural networks has shown promising advantages over conventional algorithms. However, most existing research focuses on single receive antenna. In this paper, two end-to-end feature learning deep architectures are in
Externí odkaz:
http://arxiv.org/abs/2008.06720
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 5 November 2023 676 Part B
We propose a robust spectrum sensing framework based on deep learning. The received signals at the secondary user's receiver are filtered, sampled and then directly fed into a convolutional neural network. Although this deep sensing is effective when
Externí odkaz:
http://arxiv.org/abs/1908.00658
Different neural network (NN) architectures have different advantages. Convolutional neural networks (CNNs) achieved enormous success in computer vision, while recurrent neural networks (RNNs) gained popularity in speech recognition. It is not known
Externí odkaz:
http://arxiv.org/abs/1907.07321