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
Fast and Robust Infrared Small Target Detection Using Weighted Local Difference Variance Measure
Sensors, 2023 Infrared (IR) small-target-detection performance restricts the development of infrared search and track (IRST) systems. Existing detection methods easily lead to missed detection and false alarms under complex backgrounds and interference, and only focus
Ying Zheng +4 more
doaj +1 more source
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
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
Rethinking drug safety signal detection and causality assessment in the age of AI: the risks of incomplete data and biased insights. [PDF]
Front Drug Saf RegulChhikara P, Hammad TA.
europepmc +3 more sources
SIGNAL PROBABILITY, REINFORCEMENT AND SIGNAL DETECTION [PDF]
Journal of the Experimental Analysis of Behavior, 1979 Five pigeons were trained to detect differences in light intensity. Two stimuli, S1 and S2, differing in intensity, were arranged on the center key of a three‐key chamber according to set probabilities. A peck on the center key turned on the two side keys.
D, McCarthy, M, Davison
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source