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This paper introduces a sensing-centric joint communication and millimeter-wave radar paradigm to facilitate collaboration among intelligent vehicles. We first propose a chirp waveform-based delay-Doppler quadrature amplitude modulation…

Signal Processing · Electrical Eng. & Systems 2025-12-23 Zhuoran Li , Zhen Gao , Sheng Chen , Dusit Niyato , Zhaocheng Wang , George K. Karagiannidis

In this paper, a low-noise CMOS image sensor with enhanced dynamic range (DR), using an in-pixel chopping technique, is presented. The proposed in-pixel chopping technique is used to reduce the low-frequency or 1/f noise of the source…

Applied Physics · Physics 2018-11-28 Kapil Jainwal

Variational Monte Carlo (VMC) can be used to train accurate machine learning interatomic potentials (MLIPs), enabling molecular dynamics (MD) simulations of complex materials on time scales and for system sizes previously unattainable. VMC…

Strongly Correlated Electrons · Physics 2025-11-11 Giacomo Tenti , Kousuke Nakano , Michele Casula

Few-shot, fine-grained classification in computer vision poses significant challenges due to the need to differentiate subtle class distinctions with limited data. This paper presents a novel method that enhances the Contrastive…

Computer Vision and Pattern Recognition · Computer Science 2025-04-24 Eric Brouwer , Jan Erik van Woerden , Gertjan Burghouts , Matias Valdenegro-Toro , Marco Zullich

A prior-guided deep learning (DL) based interference mitigation approach is proposed for frequency modulated continuous wave (FMCW) radars. In this paper, the interference mitigation problem is tackled as a regression problem. Considering…

Signal Processing · Electrical Eng. & Systems 2022-12-07 Jianping Wang , Runlong Li , Yuan He , Yang Yang

Continual learning (CL) refers to the ability of an intelligent system to sequentially acquire and retain knowledge from a stream of data with as little computational overhead as possible. To this end; regularization, replay, architecture,…

This paper presents a memristor-based compute-in-memory hardware accelerator for on-chip training and inference, focusing on its accuracy and efficiency against device variations, conductance errors, and input noise. Utilizing realistic…

Neural and Evolutionary Computing · Computer Science 2024-08-28 M. Reza Eslami , Dhiman Biswas , Soheib Takhtardeshir , Sarah S. Sharif , Yaser M. Banad

Flexible cable-driven robotic arms (FCRAs) offer dexterous and compliant motion. Still, the inherent properties of cables, such as resilience, hysteresis, and friction, often lead to particular difficulties in modeling and control. This…

Robotics · Computer Science 2025-07-22 Huayue Liang , Yanbo Chen , Hongyang Cheng , Yanzhao Yu , Shoujie Li , Junbo Tan , Xueqian Wang , Long Zeng

In this study, formant tracking is investigated by refining the formants tracked by an existing data-driven tracker, DeepFormants, using the formants estimated in a model-driven manner by linear prediction (LP)-based methods. As LP-based…

Audio and Speech Processing · Electrical Eng. & Systems 2023-08-21 Paavo Alku , Sudarsana Reddy Kadiri , Dhananjaya Gowda

We study the pion mass dependence of the rho(770) and f_0(600) masses and widths from one and two-loop unitarized Chiral Perturbation Theory. We show the consistency of one-loop calculations with lattice results for the M_rho, f_pi and the…

High Energy Physics - Phenomenology · Physics 2010-12-23 J. R. Pelaez , G. Rios

This paper presents an accurate, highly efficient, and learning-free method for large-scale odometry estimation using spinning radar, empirically found to generalize well across very diverse environments -- outdoors, from urban to woodland,…

Model predictive control (MPC) has been applied to many platforms in robotics and autonomous systems for its capability to predict a system's future behavior while incorporating constraints that a system may have. To enhance the performance…

Robotics · Computer Science 2024-07-08 Ran Tao , Sheng Cheng , Xiaofeng Wang , Shenlong Wang , Naira Hovakimyan

This paper addresses carrier frequency offset (CFO) estimation and training sequence design for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems over frequency selective fading channels. By…

Information Theory · Computer Science 2017-03-23 Yanxiang Jiang , Hlaing Minn , Xiqi Gao , Xiaohu You

Models that are indistinguishable on in-distribution data can behave very differently under distribution shift. We introduce Perturb-and-Correct (P&C), a post-hoc method for constructing epistemically diverse predictors from a single…

Machine Learning · Computer Science 2026-05-05 Eleanor Quint

This paper presents a framework for the targetless extrinsic calibration of stereo cameras and Light Detection and Ranging (LiDAR) sensors with a non-overlapping Field of View (FOV). In order to solve the extrinsic calibrations problem…

Robotics · Computer Science 2019-03-07 Jinyong Jeong , Lucas Y. Cho , Ayoung Kim

This paper focuses on adaptive control of the discrete-time linear quadratic regulator (adaptive LQR). Recent literature has made significant contributions in proving non-asymptotic convergence rates, but existing approaches have a few…

Systems and Control · Electrical Eng. & Systems 2026-04-27 Peter A. Fisher , Anuradha M. Annaswamy

In MIMO systems, the presence of phase noise is a significant factor that can degrade performance. For MIMO testbeds build from SDR devices, phase noise cannot be ignored, particular in applications that require phase synchronization. This…

Signal Processing · Electrical Eng. & Systems 2025-07-17 Carl Collmann , Bitan Banerjee , Ahmad Nimr , Gerhard Fettweis

In deep learning, test-time adaptation has gained attention as a method for model fine-tuning without the need for labeled data. A prime exemplification is the recently proposed test-time prompt tuning for large-scale vision-language models…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Hee Suk Yoon , Eunseop Yoon , Joshua Tian Jin Tee , Mark Hasegawa-Johnson , Yingzhen Li , Chang D. Yoo

The in-memory computing paradigm with emerging memory devices has been recently shown to be a promising way to accelerate deep learning. Resistive processing unit (RPU) has been proposed to enable the vector-vector outer product in a…

Machine Learning · Computer Science 2020-04-24 Varun Bhatt , Shalini Shrivastava , Tanmay Chavan , Udayan Ganguly

We propose a chirp-like signal model as an alternative to a chirp model and a generalisation of the sinusoidal model, which is a fundamental model in the statistical signal processing literature. It is observed that the proposed model can…

Methodology · Statistics 2018-05-17 Rhythm Grover , Debasis Kundu , Amit Mitra
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