Results 11 to 20 of about 7,167,662 (342)
A Method of Noise Reduction for Radio Communication Signal Based on RaGAN
Sensors, 2023 Radio signals are polluted by noise in the process of channel transmission, which will lead to signal distortion. Noise reduction of radio signals is an effective means to eliminate the impact of noise.
Liang Peng +4 more
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IEEE Access, 2020 A new model is presented to resolve cycle slips detection for triple-frequency observations of BeiDou navigation satellite system (BDS) in this article when pseudorange observations are missing or insufficiently accurate under harsh or special situations.
Zengkai Shi +4 more
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Sensors, 2022 Integrated satellite multiple terrestrial relay network (ISMTRN) is a new network architecture that combines satellite communication with terrestrial communication.
Zeke Wu +4 more
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Space Information Networks [PDF]
IEEE Wireless Communications, 2019 The eight articles in this special section focus on space information networks. With the growing demand for real-time communications anywhere for anyone, satellite communications are widely expended using different platforms on geostationary Earth orbit (GEO) satellites and medium/low Earth orbit (M/LEO) satellites.
Bai, L. +3 more
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Scholars’ domain of information space
PUBMET, 2022 The article addresses scholars’ information behaviour and how they use technology to acquire information in three areas of their work: teaching, research, and administrative responsibilities. Research in information behaviour highlights fundamental problems concerning information availability, recognisability, and context (Jones et al., 2017).
Mihaela Banek Zorica +2 more
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HFCC-Net: A Dual-Branch Hybrid Framework of CNN and CapsNet for Land-Use Scene Classification
Remote Sensing, 2023 Land-use scene classification (LUSC) is a key technique in the field of remote sensing imagery (RSI) interpretation. A convolutional neural network (CNN) is widely used for its ability to autonomously and efficiently extract deep semantic feature maps ...
Ningbo Guo +6 more
doaj +1 more source
ResNet-AE for Radar Signal Anomaly Detection
Sensors, 2022 Radar signal anomaly detection is an effective method to detect potential threat targets. Given the low Accuracy of the traditional AE model and the complex network of GAN, an anomaly detection method based on ResNet-AE is proposed.
Donghang Cheng +4 more
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Sensors, 2023 Remote sensing scene objective recognition (RSSOR) plays a serious application value in both military and civilian fields. Convolutional neural networks (CNNs) have greatly enhanced the improvement of intelligent objective recognition technology for ...
Ningbo Guo +5 more
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ADS-Net:An Attention-Based deeply supervised network for remote sensing image change detection
International Journal of Applied Earth Observations and Geoinformation, 2021 Change detection technology is an important key to analyze remote sensing data and is of great significance for accurate comprehension of the earth's surface changes.
Decheng Wang +5 more
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Iterated Orthogonal Simplex Cubature Kalman Filter and Its Applications in Target Tracking
Applied Sciences, 2023 In order to increase a nonlinear system’s state estimate precision, an iterated orthogonal simplex cubature Kalman filter (IOSCKF) is presented in this study for target tracking.
Zhaoming Li +3 more
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