Results 41 to 50 of about 16,823,376 (289)
Neural-Network-Assisted Polar Code Decoding Schemes
Applied Sciences, 2022 The traditional fast successive-cancellation (SC) decoding algorithm can effectively reduce the decoding steps, but the decoding adopts a sub-optimal algorithm, so it cannot improve the bit error performance. In order to improve the bit error performance
Hengyan Liu +3 more
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Fast Lyapunov Vector Field Guidance for Standoff Target Tracking Based on Offline Search
IEEE Access, 2019 To address the problem of the long convergence time of traditional Lyapunov Vector Field Guidance (LVFG), a fast convergent LVFG designed with guidance function is proposed.
Shun Sun, Haipeng Wang, Jun Liu, You He
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Serial GANs: A Feature-Preserving Heterogeneous Remote Sensing Image Transformation Model
Remote Sensing, 2021 In recent years, the interpretation of SAR images has been significantly improved with the development of deep learning technology, and using conditional generative adversarial nets (CGANs) for SAR-to-optical transformation, also known as image ...
Daning Tan +5 more
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A Discriminative Distillation Network for Cross-Source Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Nowadays, several remote sensing image capturing technologies are used ranging from unmanned aerial vehicles to satellites. Powerful learning-based discriminative features play an essential role in content-based remote sensing image retrieval (CBRSIR ...
Wei Xiong +3 more
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Distributed High-Degree Cubature Information Filter With Embedded Hybrid Consensus
IEEE Access, 2019 To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel distributed high-degree cubature information filter with embedded hybrid consensus (DHCIF) is proposed.
Jun Liu +4 more
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Monitoring and information fusion for search and rescue operations in large-scale disasters
, 2002 The goal of the project, which is currently under development, is to design tools to monitor the situation after a large-scale disaster, with a particular focus on the task on situation assessment and high-level information fusion, as well as on the ...
GRISETTI, GIORGIO +7 more
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Multi-level fusion of hard and soft information
, 2022 8 S.Driven by the underlying need for a yet to be developed framework for fusing heterogeneous data and information at different semantic levels coming from both sensory and human sources, we present some results of the research being conducted within ...
Biermann, J. +5 more
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A new adaptive track correlation method for multiple scenarios
IET Radar, Sonar & Navigation, 2021 The traditional track correlation methods have problems such as limitation of the application scenarios, unstable performances and poor practicalities. To solve those problems, a new adaptive track correlation method for multiple scenarios was proposed ...
Yaqi Cui +3 more
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Improving acoustic vehicle classification by information fusion
, 2011 We present an information fusion approach for ground vehicle classification based on the emitted acoustic signal. Many acoustic factors can contribute to the classification accuracy of working ground vehicles.
Mark S. Nixon +5 more
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Journal of Electrical and Computer EngineeringSmeared spectrum (SMSP) jamming is a deceptive jamming technique commonly used against linear frequency modulation (LFM) radar. This technique produces high-density false targets that resemble a comb shape after pulse compression processing, resulting in
Zhenming Wen, Guohong Wang, Hongbo Yu
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