13 papers · ranked by Valyu relevance
Shaohan Wei, Marco Piangerelli
Graph embedding has gained significant popularity due to its ability to represent large-scale graph data by mapping nodes to a low-dimensional space. However, most of the existing research in this field has focused on transductive learning, where fixed node embeddings are generated by training the entire graph. This…
Wensheng Chang, Haihong Tao, Guangcai Sun, Yuqi Wang + 1 more
Considering the difficulty of pulse repetition frequency (PRF) design in multi-angle SAR when using ultra-high speed platforms, a multi-angle SAR imaging system in a unified coordinate system is proposed. The digital multi-beamforming is used in the system and multi-angle SAR data can be obtained in one flight.…
Shan Zhao, Lei Zhu, Shiyang Shen, Heng Du + 4 more
'Xiaodong Wang' 'Michele Norgia'] Laser space networks are an important development direction for inter-satellite communication. Detecting the angle of arrival (AOA) of multiple satellites in a wide field of view (FOV) is the key to realize inter-satellite laser communication networking. The traditional AOA detection…
Ping Zhang, Wenjun Li, Hua Sun, Francesco Pappalardo
Secure aggregation is an essential component of modern distributed applications and data mining platforms. Aggregated statistical results are typically adopted in constructing a data cube for data analysis at multiple abstraction levels in data warehouse platforms. Generating different types of statistical results…
Xiheng Zhang, Yongkang Wong, Mohan S. Kankanhalli, Weidong Geng + 1 more
'Jie Zhang'] Sensor-based human activity recognition aims at detecting various physical activities performed by people with ubiquitous sensors. Different from existing deep learning-based method which mainly extracting black-box features from the raw sensor data, we propose a hierarchical multi-view aggregation network…
Caicheng Wang, Xue Li, Linshan Xue, Chengkai Tang + 2 more
Highlights We propose a high-accuracy wave-direction estimation framework that fuses interferometric phase-based angle measurements with energy-field reconstruction. We develop a multi-rate Kalman fusion strategy to improve robustness and precision over single-source methods, validated under varying SNR and…
Pietro Anzini, Daniele Redoglio, Mattia Rocco, Norberto Masciocchi + 2 more
Light scattering and turbidimetry techniques are classical tools for characterizing the dynamics and structure of single nanoparticles or nanostructured networks. They work by analyzing, as a function of time (Dynamic Light Scattering, DLS) or angles (Static Light Scattering, SLS), the light scattered by a sample, or…
Yi-Xiong Zhang, Qi-Fan Liu, Ru-Jia Hong, Ping-Ping Pan + 2 more
'Zhen-Miao Deng' 'Scott Palo'] Traditional monopulse angle estimations are mainly based on phase comparison and amplitude comparison methods, which are commonly adopted in narrowband radars. In modern radar systems, wideband radars are becoming more and more important, while the angle estimation for wideband signals is…
Chao Xiong, Chongyi Fan, Xiaotao Huang
This letter proposes a time-reversal (TR) post-Doppler adaptive multiple signal classification (MUSIC) algorithm for multiple-input multiple-output (MIMO) radars, which addresses the joint estimation of angle and Doppler in diffuse multipath environments. First, an improving TR MIMO multipath model is proposed to avoid…
Vijayakumar Anand, Shanti Bhattacharya, Joseph Rosen
Speckle correlation based optical levers (SC-OptLev) possess attractive characteristics suitable for sensing small changes in the angular orientations of surfaces. In this study, we propose and demonstrate a spatial multiplexing technique for improving the dynamic range of SC-OptLev. When the surface is in its initial…
Zekai Huang, Peiwu Jiang, Maozhong Fu, Zhenmiao Deng + 1 more
Wideband radar is becoming increasingly significant in modern radar systems. However, traditional monopulse angle estimation techniques are not suitable for wideband targets exhibiting range extension effects. To address this, we explore the angle estimation problem for wideband Linear Frequency-Modulated (LFM) signals…
Jinlong Xin, Guisheng Liao, Zhiwei Yang, Haoming Shen
This paper proposes two novel phase-based algorithms for the passive localization of a single source with a uniform circular array (UCA) under the case of measuring phase ambiguity based on two phase difference observation models, which are defined as the unambiguous-relative phase observation model (UARPOM) and the…
Yonggang Lu, Jiaxuan Liu, Li Zhu, Bianlan Zhang + 1 more
Single-particle analysis (SPA) in cryo-electron microscopy has become a powerful tool for determining and studying the macromolecular structure at an atomic level. However, since the SPA problem is a non-convex optimization problem with enormous search space and there is high level of noise in the input images, the…