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Tracking multiple targets in dynamic environments using distributed sensor networks is a challenging problem for situational awareness in connected autonomous vehicles (CAVs). In such scenarios, the network of mobile sensors must coordinate…

Systems and Control · Electrical Eng. & Systems 2025-03-05 Aidan Blair , Amirali Khodadadian Gostar , Alireza Bab-Hadiashar , Xiaodong Li , Reza Hoseinnezhad

While acoustic communications have been considered the prominent technology to communicate under water for several years, other technologies are being developed based, e.g., on optical and radio-frequency electro-magnetic waves. Each…

Networking and Internet Architecture · Computer Science 2016-11-15 Roee Diamant , Paolo Casari , Filippo Campagnaro , Oleksiy Kebkal , Veronika Kebkal , Michele Zorzi

Beam shaping techniques enable tailored beam trajectories, offering unprecedented connectivity opportunities in wireless communications. Current approaches rely on flat apertures, which limit trajectory flexibility due to inherent geometric…

Wave chaotic systems underpin a wide range of research activities, from fundamental studies of quantum chaos via electromagnetic compatibility up to more recently emerging applications like microwave imaging for security screening, antenna…

Applied Physics · Physics 2020-07-01 Jean-Baptiste Gros , Philipp del Hougne , Geoffroy Lerosey

Optimal transport (OT) theory describes general principles to define and select, among many possible choices, the most efficient way to map a probability measure onto another. That theory has been mostly used to estimate, given a pair of…

Machine Learning · Computer Science 2023-04-03 Charlotte Bunne , Andreas Krause , Marco Cuturi

Controlling the temporal mode shape of quantum light pulses has wide ranging application to quantum information science and technology. Techniques have been developed to control the bandwidth, allow shifting in the time and frequency…

This article is an exposition on some recent theoretical advances in learning latent structured models, with a primary focus on the fundamental roles that optimal transport distances play in the statistical theory. We aim at what may be the…

Statistics Theory · Mathematics 2026-01-19 XuanLong Nguyen , Yun Wei

In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at…

Signal Processing · Electrical Eng. & Systems 2022-06-07 Cheng-Xiang Wang , Zhen Lv , Xiqi Gao , Xiaohu You , Yang Hao , Harald Haas

We consider paths in weighted and directed temporal networks, introducing tools to compute sets of paths of high probability. We quantify the relative importance of the most probable path between two nodes with respect to the whole set of…

Physics and Society · Physics 2015-08-05 Enrico Ser-Giacomi , Ruggero Vasile , Emilio Hernandez-Garcia , Cristobal Lopez

This paper presents a novel spectrum allocation strategy for multiuser terahertz (THz) band communication systems when the to-be-allocated spectrum is composed of multiple transmission windows (TWs). This strategy explores the benefits of…

Signal Processing · Electrical Eng. & Systems 2024-10-28 Akram Shafie , Nan Yang , Chong Han , Josep M. Jornet

We present analytical results on transport properties of many-mode waveguides with randomly stratified disorder having long-range correlations. To describe such systems, the theory of 1D transport recently developed for a correlated…

Condensed Matter · Physics 2009-11-10 F. M. Izrailev , N. M. Makarov

In autonomous driving tasks, trajectory prediction in complex traffic environments requires adherence to real-world context conditions and behavior multimodalities. Existing methods predominantly rely on prior assumptions or generative…

Computer Vision and Pattern Recognition · Computer Science 2024-02-07 Yiming Xu , Hao Cheng , Monika Sester

Radiation forces and torques enable the manipulation of objects with acoustic and electromagnetic waves. Yet, harnessing them in complex scattering media remains a formidable challenge, especially when multiple objects must be controlled…

Long-range speckle correlations play an essential role in wave transport through disordered media, but have rarely been studied in other complex systems. Here we discover spatio-temporal intensity correlations for an optical pulse…

Optics · Physics 2019-10-24 Wen Xiong , Chia Wei Hsu , Hui Cao

The quest for higher wireless carrier frequencies spanning the millimeter-wave (mmWave) and Terahertz (THz) bands heralds substantial enhancements in data throughput and spectral efficiency for next-generation wireless networks. However,…

Signal Processing · Electrical Eng. & Systems 2025-08-13 Sicong Ye , Yulan Gao , Ming Xiao , Peng Wang , Marios Poulakis , Ulrik Imberg

Holographic metasurface transceivers (HMT) is an emerging technology for enhancing the coverage and rate of wireless communication systems. However, acquiring accurate channel state information in HMT-assisted wireless communication systems…

Signal Processing · Electrical Eng. & Systems 2023-01-10 Debamita Ghosh , Manjesh K. Hanawal , Nikola Zlatanov

This letter investigates the transmit power and trajectory optimization problem for unmanned aerial vehicle (UAV)-aided networks. Different from majority of the existing studies with fixed communication infrastructure, a dynamic scenario is…

Signal Processing · Electrical Eng. & Systems 2018-01-17 Haichao Wang , Guochun Ren , Jin Chen , Guoru Ding , Yijun Yang

The numerical complex coupled-mode method used in a metal thin-film optic element is applied to a planar multilayer optical waveguide. All modes are required to satisfy Helmholtz Vectorial equation in an optical waveguide including bound…

Optics · Physics 2020-01-06 Shahram Moradi

Network theory has played a dominant role in understanding the structure of complex systems and their dynamics. Recently, quantum complex networks, i.e. collections of quantum systems in a non-regular topology, have been explored leading to…

Optimal transport (OT) is a widely used technique for distribution alignment, with applications throughout the machine learning, graphics, and vision communities. Without any additional structural assumptions on trans-port, however, OT can…

Machine Learning · Computer Science 2021-07-20 Chi-Heng Lin , Mehdi Azabou , Eva L. Dyer
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