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Owning to the reflection gain and double path loss featured by intelligent reflecting surface (IRS) channels, handover (HO) locations become irregular and the signal strength fluctuates sharply with variations in IRS connections during HO,…

Signal Processing · Electrical Eng. & Systems 2025-01-28 Haoyan Wei , Hongtao Zhang

We introduce the dynamics mode decomposition for monitoring wide-area power grid networks from sparse measurement data. The mathematical framework fuses data from multiple sensors based on multivariate statistics, providing accurate full…

Pattern Formation and Solitons · Physics 2019-06-11 J. Jorge Ramos , J. Nathan Kutz

Belief propagation applied to iterative decoding and sparse recovery through approximate message passing (AMP) are two research areas that have seen monumental progress in recent decades. Inspired by these advances, this article introduces…

Information Theory · Computer Science 2023-01-06 Jamison R. Ebert , Jean-Francois Chamberland , Krishna R. Narayanan

Posterior matching uses variable-length encoding of the message controlled by noiseless feedback of the received symbols to achieve high rates for short average blocklengths. Traditionally, the feedback of a received symbol occurs before…

Information Theory · Computer Science 2024-04-16 Amaael Antonini , Rita Gimelshein , Richard D. Wesel

As a promising key technology of 6th generation (6G) mobile communication system, integrated sensing and communication (ISAC) technology aims to make full use of spectrum resources to enable the functional integration of communication and…

Signal Processing · Electrical Eng. & Systems 2024-04-22 Haotian Liu , Zhiqing Wei , Fengyun Li , Yuewei Lin , Hanyang Qu , Huici Wu , Zhiyong Feng

Ultra-reliable and low-latency communications (URLLC) partakes a major role in 5G networks for mission-critical applications. Sparse vector coding (SVC) appears as a strong candidate for future URLLC networks by enabling superior…

Signal Processing · Electrical Eng. & Systems 2020-04-20 Emre Arslan , Ali Tugberk Dogukan , Ertugrul Basar

Traditional self-interference cancellation (SIC) methods are common in full-duplex (FD) integrated sensing and communication (ISAC) systems. However, exploring new SIC schemes is important due to the limitations of traditional approaches.…

Signal Processing · Electrical Eng. & Systems 2024-10-25 Yu Liu , Gaojie Chen , Yun Wen , Qu Luo , Chiya Zhang , Dusit Niyato

Sparse coding strategies have been lauded for their parsimonious representations of data that leverage low dimensional structure. However, inference of these codes typically relies on an optimization procedure with poor computational…

Machine Learning · Computer Science 2022-09-02 Kion Fallah , Christopher J. Rozell

Integrated sensing and communication (ISAC) has emerged as a pivotal technology for next-generation wireless networks, enabling simultaneous data transmission and environmental sensing. However, existing ISAC systems face fundamental…

Signal Processing · Electrical Eng. & Systems 2026-02-18 Amirhossein Taherpour , Abbas Taherpour , Tamer Khattab

Phased arrays, commonly used in IEEE 802.11ad and 5G radios, are capable of focusing radio frequency signals in a specific direction or a spatial region. Beamforming achieves such directional or spatial concentration of signals and enables…

Signal Processing · Electrical Eng. & Systems 2024-10-30 Nitin Jonathan Myers , Robert W. Heath

Seismic data denoising is vital to geophysical applications and the transform-based function method is one of the most widely used techniques. However, it is challenging to design a suit- able sparse representation to express a…

Computer Vision and Pattern Recognition · Computer Science 2017-04-17 Ming-Jun Su , Jingbo Chang , Feng Qian , Guangmin Hu , Xiao-Yang Liu

Achieving effective uplink bistatic ISAC over an OFDM waveform gives rise to challenging interference structures. These are mostly due to unequal direct- and echo-path contributions and Doppler-induced ICI, rendering orthogonal resource…

Signal Processing · Electrical Eng. & Systems 2026-05-22 Bruno F. Costa , Anup Mishra , Israel Leyva-Mayorga , Taufik Abrão , Petar Popovski

Sparse coding has been popularly used as an effective data representation method in various applications, such as computer vision, medical imaging and bioinformatics, etc. However, the conventional sparse coding algorithms and its manifold…

Computer Vision and Pattern Recognition · Computer Science 2013-04-04 Jing-Yan Wang

Citizen science monitoring programs can generate large amounts of valuable data, but are often affected by sampling bias. We focus on a citizen science initiative that records plant-pollinator interactions, with the goal of learning…

Machine Learning · Statistics 2025-11-21 Emre Anakok , Pierre Barbillon , Colin Fontaine , Elisa Thebault

A traditional assumption underlying most data converters is that the signal should be sampled at a rate exceeding twice the highest frequency. This statement is based on a worst-case scenario in which the signal occupies the entire…

Information Theory · Computer Science 2015-05-13 Yonina C. Eldar

This paper addresses the distributed frequency control problem in a multi-area power system taking into account of unknown time-varying power imbalance. Particularly, fast controllable loads are utilized to restore system frequency under…

Systems and Control · Computer Science 2018-10-31 Zhaojian Wang , Shengwei Mei , Feng Liu , Steven H. Low , Peng Yang

Modern power systems have begun integrating synchrophasor technologies into part of daily operations. Given the amount of solutions offered and the maturity rate of application development it is not a matter of "if" but a matter of "when"…

Machine Learning · Computer Science 2015-09-18 Jordan Landford , Rich Meier , Richard Barella , Xinghui Zhao , Eduardo Cotilla-Sanchez , Robert B. Bass , Scott Wallace

In this paper, we investigate integrated sensing and communication (ISAC) in high-mobility systems with the aid of an intelligent reflecting surface (IRS). To exploit the benefits of Delay-Doppler (DD) spread caused by high mobility,…

Information Theory · Computer Science 2024-08-01 Xingyu Peng , Qin Tao , Xiaoling Hu , Richeng Jin , Chongwen Huang , Xiaoming Chen

The transformation of conventional power networks into smart grids with the heavy penetration level of renewable energy resources, particularly grid-connected Photovoltaic (PV) systems, has increased the need for efficient fault…

Machine Learning · Computer Science 2022-01-03 Syed Wali , Irfan Khan

The performance of Simultaneous Wireless Information and Power Transfer (SWIPT) is mainly constrained by the received Radio-Frequency (RF) signal strength. To tackle this problem, we introduce an Intelligent Reflecting Surface (IRS) to…

Information Theory · Computer Science 2021-12-06 Yang Zhao , Bruno Clerckx , Zhenyuan Feng