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检索条件"任意字段=12th Sensor Signal Processing for Defence Conference, SSPD 2023"
21 条 记 录,以下是1-10 订阅
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2023 sensor signal processing for defence conference, sspd 2023
2023 Sensor Signal Processing for Defence Conference, SSPD 2...
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12th sensor signal processing for defence conference, sspd 2023
the proceedings contain 20 papers. the topics discussed include: association based feedback aided underwater passive target tracking;implementation of adaptive kernel Kalman filter in stone soup;simulation of anisopla...
来源: 评论
Consensus-based Distributed Variational Multi-object Tracker in Multi-sensor Network  12
Consensus-based Distributed Variational Multi-object Tracker...
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12th sensor signal processing for defence conference (sspd)
作者: Li, Qing Gan, Runze Godsill, Simon Univ Cambridge Dept Engn Cambridge England
the growing need for accurate and reliable tracking systems has driven significant progress in sensor fusion and object tracking techniques. In this paper, we design two variational Bayesian trackers that effectively ... 详细信息
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Multi-Target Tracking Using a Swarm of UAVs by Q-learning Algorithm  12
Multi-Target Tracking Using a Swarm of UAVs by Q-learning Al...
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12th sensor signal processing for defence conference (sspd)
作者: Soleymani, Seyed Ahmad Goudarzi, Shidrokh Liu, Xingchi Mihaylova, Lyudmila Wang, Wenwu Xiao, Pei Univ Surrey Ctr Vis Speech & Signal Proc CVSSP Guildford Surrey England Univ West London Sch Comp & Engn London England Univ Sheffield Dept Automat Control & Syst Engn Sheffield S Yorkshire England Univ Surrey Inst Commun Syst 5GIC Guildford Surrey England
this paper proposes a scheme for multiple un-manned aerial vehicles (UAVs) to track multiple targets in challenging 3-D environments while avoiding obstacle collisions. the scheme relies on Received-signal-Strength-In... 详细信息
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Simulation of Anisoplanatic Turbulence for Images and Videos  12
Simulation of Anisoplanatic Turbulence for Images and Videos
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12th sensor signal processing for defence conference (sspd)
作者: Vint, D. Di Caterina, G. Kirkland, P. Lamb, R. A. Humphreys, D. Univ Strathclyde Ctr Signal & Image Proc Glasgow Lanark Scotland Leonardo UK Ltd Div Elect Airborne & Space Syst Div Edinburgh Midlothian Scotland
Turbulence is a common phenomenon in the atmosphere and can generate a variety of distortions in an image. this can cause further image processing tasks to struggle due to lack of detail in the resulting turbulence af... 详细信息
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Implementation of Adaptive Kernel Kalman Filter in Stone Soup  12
Implementation of Adaptive Kernel Kalman Filter in Stone Sou...
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12th sensor signal processing for defence conference (sspd)
作者: Wright, James S. Hopgood, James R. Davies, Mike E. Proudler, Ian K. Sun, Mengwei Univ Edinburgh Inst Digital Commun Edinburgh EH9 3FG Midlothian Scotland Dstl Dstl Porton Down Bldg 5Rm 101 Salisbury SP4 0JQ Wilts England Univ Strathclyde Dept Elect & Elect Engn Ctr Signal & Image Proc CeSIP Glasgow G1 1XW Lanark Scotland
the recently proposed adaptive kernel Kalman filter (AKKF) is an efficient method for highly nonlinear and high-dimensional tracking or estimation problems. Compared to other nonlinear Kalman filters (KFs), the AKKF h... 详细信息
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Joint sensor Scheduling and Target Tracking with Efficient Bayesian Optimisation  12
Joint Sensor Scheduling and Target Tracking with Efficient B...
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12th sensor signal processing for defence conference (sspd)
作者: Liu, Xingchi Lyu, Chenyi Soleymani, Seyed Ahmad Wang, Wenwu Mihaylova, Lyudmila Univ Sheffield Dept Automat Control & Syst Engn Sheffield S Yorkshire England Univ Surrey Ctr Vis Speech & Signal Proc CVSSP Guildford Surrey England
the received signal strength measurement has been widely used in search and tracking applications and its benefit is linked with the distance between the transmitter and receiver. this paper proposes an online Bayesia... 详细信息
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Adaptive Kernel Kalman Filter for Magnetic Anomaly Detection-based Metallic Target Tracking  12
Adaptive Kernel Kalman Filter for Magnetic Anomaly Detection...
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12th sensor signal processing for defence conference (sspd)
作者: Sun, Mengwei Hodgskin-Brown, Richard Davies, Mike E. Proudler, Ian K. Hopgood, James R. Univ Edinburgh Inst Digital Commun Edinburgh EH9 3FG Midlothian Scotland Univ Strathclyde Dept Elect & Elect Engn Ctr Signal & Image Proc CeSIP Glasgow G1 1XW Lanark Scotland Univ Manchester Dept Elect & Elect Engn Electromagnet Sensing Grp Manchester M13 9PL Lancs England
this paper proposes the use of the adaptive kernel Kalman filter (AKKF) to track metallic targets using magnetic anomaly detection (MAD). the proposed AKKF-based approach enables accurate tracking of moving metallic t... 详细信息
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JOINT LEARNING WIth SHARED LATENT SPACE FOR SELF-SUPERVISED MONAURAL SPEECH ENHANCEMENT  12
JOINT LEARNING WITH SHARED LATENT SPACE FOR SELF-SUPERVISED ...
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12th sensor signal processing for defence conference (sspd)
作者: Li, Yi Sun, Yang Wang, Wenwu Naqvi, Syed Mohsen Newcastle Univ Intelligent Sensing & Commun Res Grp Newcastle Upon Tyne Tyne & Wear England Univ Oxford Big Data Inst Oxford England Univ Surrey Ctr Vis Speech & Signal Proc Guildford Surrey England
Supervised learning has been used to solve monaural speech enhancement problem, offering state-of-the-art performance. However, clean training data is difficult or expensive to obtain in real room environments, which ... 详细信息
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Design and Test of Turbidity sensor for In-Situ Monitoring of Groundwater  12
Design and Test of Turbidity Sensor for In-Situ Monitoring o...
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12th Academic conference of Geology Resource Management and Sustainable Development, GRMSD 2024
作者: Ren, Meijuan Zhang, Lei Feng, Cangxu Li, Kang Center for Hydrogeology and Environmental Geology China Geological Survey Tianjin300300 China
A turbidity sensor that can be used for in-situ monitoring of low-turbidity groundwater has been designed. the sensor's structural design is based on the detection of 90° scattered light, and its light guidin... 详细信息
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Research on High-Frequency Current sensor and Measurement Method Based on Magnetic sensor Array  12
Research on High-Frequency Current Sensor and Measurement Me...
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12th International conference of Information and Communication Technology, ICTech 2023
作者: Yang, Aichao Liu, Ming Wang, Yi Wu, Yu Zhu, Liang Fan, Yajun State Grid Jiangxi Power Service Management Center Nanchang330032 China
In recent years, the rapid development of smart grid makes the grid structure more complicated. In order to ensure the stable, efficient and safe operation of the power grid, the smart grid puts forward higher require... 详细信息
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