Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems [PDF]
IEEE Wireless Communications Letters, 2017 This letter presents our initial results in deep learning for channel estimation and signal detection in orthogonal frequency-division multiplexing (OFDM) systems. In this letter, we exploit deep learning to handle wireless OFDM channels in an end-to-end
Hao Ye, Geoffrey Y. Li, B. Juang
semanticscholar +1 more source
A Signal Detection Approach to Understanding the Identification of Fake News
Perspectives on Psychological Science, 2021 Researchers across many disciplines seek to understand how misinformation spreads with a view toward limiting its impact. One important question in this research is how people determine whether a given piece of news is real or fake.
C. Batailler +3 more
semanticscholar +1 more source
Deep Learning for Joint Channel Estimation and Signal Detection in OFDM Systems [PDF]
IEEE Communications Letters, 2020 In this letter, we propose a novel deep learning based approach for joint channel estimation and signal detection in orthogonal frequency division multiplexing (OFDM) systems by exploring the time and frequency correlation of wireless fading channels ...
X. Yi, C. Zhong
semanticscholar +1 more source
Fish Target Detection in Underwater Blurred Scenes Based on Improved YOLOv5
IEEE Access, 2023 In recent years, human beings have paid more and more attention to the exploration of the underwater world. As an important part of underwater resources, fish can be detected by using the fish image data collected by underwater imaging systems, which can
Fei Wu +5 more
doaj +1 more source
Optical Fiber Vibration Signal Identification Method Based on Improved YOLOv4
Sensors, 2022 In the traditional peripheral-security-early-warning system, the endpoint detection and pattern recognition of the signals generated by the distributed optical fiber vibration sensors is completed step-by-step and in an orderly manner.
Jiangwei Zhang +4 more
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Salient Object Detection Based on Optimization of Feature Computation by Neutrosophic Set Theory
Sensors, 2023 In recent saliency detection research, too many or too few image features are used in the algorithm, and the processing of saliency map details is not satisfactory, resulting in significant degradation of the salient object detection result.
Sensen Song +3 more
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A Fiber Vibration Signal Recognition Method Based on CNN-CBAM-LSTM
Applied Sciences, 2022 By trying to solve the issue of identifying multiple types of intrusion vibration signals collected by distributed vibrating fiber optic sensors, this study investigates the signal identification and feature extraction of intrusion signals, and proposes ...
Jincheng Huang +3 more
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Optical Fiber Vibration Signal Recognition Based on the Fusion of Multi–Scale Features
Sensors, 2022 Because of the problem of low recognition accuracy in the recognition of intrusion vibration events by the distributed Sagnac type optical fiber sensing system, this paper combines the traditional optical fiber vibration signal recognition idea and the ...
Xinrong Ma +3 more
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Spatial–Temporal Dynamic Graph Differential Equation Network for Traffic Flow Forecasting
Mathematics, 2023 Traffic flow forecasting is the foundation of intelligent transportation systems. Accurate traffic forecasting is crucial for intelligent traffic management and urban development.
Junwei Zhou +3 more
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Optical Flow-Aware-Based Multi-Modal Fusion Network for Violence Detection
Entropy, 2022 Violence detection aims to locate violent content in video frames. Improving the accuracy of violence detection is of great importance for security. However, the current methods do not make full use of the multi-modal vision and audio information, which ...
Yang Xiao +3 more
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