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Human actions often induce changes of object states such as "cutting an apple", "cleaning shoes" or "pouring coffee". In this paper, we seek to temporally localize object states (e.g. "empty" and "full" cup) together with the corresponding…

Computer Vision and Pattern Recognition · Computer Science 2022-03-23 Tomáš Souček , Jean-Baptiste Alayrac , Antoine Miech , Ivan Laptev , Josef Sivic

The fast motion of Low Earth Orbit (LEO) satellites causes the propagation channel to vary rapidly, and its behavior is strongly shaped by the surrounding environment, especially at low elevation angles where signals are highly susceptible…

Networking and Internet Architecture · Computer Science 2026-03-27 Jingyi Tian , Lin Cai

Radio applications are increasingly being used in urban environments for cellular radio systems and safety applications that use vehicle-vehicle, and vehicle-to-infrastructure. We present a novel ray tracing-based radio propagation…

Signal Processing · Electrical Eng. & Systems 2023-05-16 Ruichen Wang , Dinesh Manocha

This paper studies the resilient control of networked systems in the presence of cyber attacks. In particular, we consider the state feedback stabilization problem for nonlinear systems when the state measurement is sent to the controller…

Systems and Control · Electrical Eng. & Systems 2021-04-12 Mingming Shi , Shuai Feng , Hideaki Ishii

Coexistence by means of shared access is a cognitive radio application. The secondary user models the slotted primary users channel access as a Markov process. The model parameters, i.e, the state transition probabilities (alpha,beta) help…

Information Theory · Computer Science 2014-02-21 Ankit Kaushik , Friedrich K. Jondral

Autonomous agents are often tasked with operating in an area where feedback is unavailable. Inspired by such applications, this paper develops a novel switched systems-based control method for uncertain nonlinear systems with temporary loss…

Systems and Control · Computer Science 2018-03-16 Hsi-Yuan Chen , Zachary I. Bell , Patryk Deptula , Warren E. Dixon

We consider a state estimation problem where observations are made by multiple sensors. These observations are communicated over a lossy wireless network to a central base station that computes estimates via a Kalman filter. The goal is to…

Optimization and Control · Mathematics 2008-09-25 Ufuk Topcu , Kenneth Hsu , Kameshwar Poolla

The classic trilateration technique can localize each target based on its distances to three anchors with known coordinates. Usually, this technique requires all the anchors and targets, e.g., the satellites and the mobile phones in Global…

Signal Processing · Electrical Eng. & Systems 2022-05-30 Qipeng Wang , Liang Liu , Shuowen Zhang , Francis C. M. Lau

In this paper, pilot-symbol-assisted transmission in cognitive radio systems over time selective flat fading channels is studied. It is assumed that causal and noncausal Wiener filter estimators are used at the secondary receiver with the…

Information Theory · Computer Science 2010-04-09 Sami Akin , Mustafa Cenk Gursoy

In this work, we propose a new communication system for illuminated areas, indoors and outdoors. Light sources in our environments -such as light bulbs or even the sun- are our signal emitters, but we do not modulate data at the light…

Networking and Internet Architecture · Computer Science 2017-01-09 Qing Wang , Marco Zuniga , Domenico Giustiniano

In this paper we analyze the effect of the calibration period, or lack of, on self-interference channel estimation in the digital domain of in-band full-duplex radio transceivers. In particular, we consider a scenario where the channel…

Information Theory · Computer Science 2014-09-05 Dani Korpi , Lauri Anttila , Mikko Valkama

We report a detailed and systematic study of wave propagation through a stochastic absorbing random medium. Stochastic absorption is modeled by introducing an attenuation constant per unit length $\alpha$ in the free propagation region of…

Disordered Systems and Neural Networks · Physics 2007-05-23 Sandeep K. Joshi , Debendranath Sahoo , A. M. Jayannavar

It is common practice in wireless communications to assume strict or wide-sense stationarity of the wireless channel in time and frequency. While this approximation has some physical justification, it is only valid inside certain…

Information Theory · Computer Science 2014-09-19 Adrian Ispas , Christian Schneider , Gerd Ascheid , Reiner Thomä

This paper considers the general signal detection and parameter estimation problem in the presence of colored Gaussian noise disturbance. By modeling the disturbance with an autoregressive process, we present three signal detectors with…

Data Analysis, Statistics and Probability · Physics 2016-07-29 Bo Tang , Haibo He , Steven Kay

We present a propagation model showing that a transmitter randomly positioned in space generates unbounded peaks in the histogram of the resulting power, provided the signal strength is an oscillating or non-monotonic function of distance.…

Information Theory · Computer Science 2026-01-29 H. Paul Keeler

State estimation allows to monitor power networks, exploiting field measurements to derive the most likely grid state. In the literature, measurement errors are usually assumed to follow zero-mean Gaussian distributions; however, it has…

Systems and Control · Electrical Eng. & Systems 2023-03-07 Marta Vanin , Tom Van Acker , Reinhilde D'hulst , Dirk Van Hertem

By exploiting noise as an information-bearing resource, noise-driven communication offers a promising framework for low-complexity and secure wireless system design. In this letter, the scheme of ternary noise modulation (T-NoiseMod) is…

Signal Processing · Electrical Eng. & Systems 2026-04-17 Ata Bilgin , Erkin Yapıcı , Yusuf İslam Tek , Ertuğrul Başar

This work considers a problem of integrated sensing and communication (ISAC) in which the goal of sensing is to detect a binary state. Unlike most approaches that minimize the total detection error probability, in our work, we disaggregate…

Information Theory · Computer Science 2025-02-03 Daewon Seo , Sung Hoon Lim

We study the information loss of a class of inference strategies that is solely based on time averaging. For an array of independent binary sensors (e.g., receptors, single electron transistors) measuring a weak random signal (e.g., ligand…

Statistical Mechanics · Physics 2016-10-25 David Hartich , Udo Seifert

We propose a novel distributed expectation maximization (EM) method for non-cooperative RF device localization using a wireless sensor network. We consider the scenario where few or no sensors receive line-of-sight signals from the target.…

Information Theory · Computer Science 2014-08-15 Wenjie Xu , Francois Quitin , Mei Leng , Wee Peng Tay , Sirajudeen G. Razul