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Formal Concept Analysis (FCA) is a mathematical framework for knowledge representation and discovery. It performs a hierarchical clustering over a set of objects described by attributes, resulting in conceptual structures in which objects…

Artificial Intelligence · Computer Science 2025-08-12 Jessie Galasso

Recent advancements in Deep Learning (DL) for Direction of Arrival (DOA) estimation have highlighted its superiority over traditional methods, offering faster inference, enhanced super-resolution, and robust performance in low…

Signal Processing · Electrical Eng. & Systems 2024-05-07 Ruxin Zheng , Shunqiao Sun , Hongshan Liu , Honglei Chen , Mojtaba Soltanalian , Jian Li

Recently, compressive antenna arrays have been considered for DoA estimation with reduced hardware complexity. By utilizing compressive sensing, such arrays employ a linear combining network to combine signals from a larger set of antenna…

Signal Processing · Electrical Eng. & Systems 2018-11-06 Sankalp Pawar , Sebastian Semper , Florian Römer

Recently, coprime arrays have been in the focus of research because of their potential in exploiting redundancy in spanning large apertures with fewer elements than suggested by theory. A coprime array consists of two uniform linear…

Information Theory · Computer Science 2014-12-16 Zhiyuan Weng , Petar Djuric

An ambiguity-free direction-of-arrival (DOA) estimation scheme is proposed for sparse uniform linear arrays under low signal-to-noise ratios (SNRs) and non-stationary broadband signals. First, for achieving better DOA estimation performance…

Signal Processing · Electrical Eng. & Systems 2025-03-06 Wei Wang , Shefeng Yan , Linlin Mao , Zeping Sui , Jirui Yang

Direction of arrival (DOA) estimation in array processing using uniform/sparse linear arrays is concerned in this paper. While sparse methods via approximate parameter discretization have been popular in the past decade, the discretization…

Information Theory · Computer Science 2014-10-24 Zai Yang , Lihua Xie , Cishen Zhang

Federated learning, while being a promising approach for collaborative model training, is susceptible to backdoor attacks due to its decentralized nature. Backdoor attacks have shown remarkable stealthiness, as they compromise model…

Machine Learning · Computer Science 2026-04-10 Zhengyuan Jiang , Xingyu Lyu , Shanghao Shi , Yang Xiao , Yimin Chen , Y. Thomas Hou , Wenjing Lou , Ning Wanga

In an order-of-addition (OofA) experiment, the sequence of m different components can significantly impact the experiment's response. In many OofA experiments, the components are subject to constraints, where certain orders are impossible.…

Methodology · Statistics 2025-01-14 Jianbin Chen , Dennis K. J. Lin , Nicholas Rios , Xueru Zhang

The DOA estimation method of coherent signals based on periodical coding metasurface is proposed. After periodical coding, the DOA information of incident signals in the time domain is represented as the amplitude and phase information at…

Signal Processing · Electrical Eng. & Systems 2023-12-06 Yishuo Zhao , Yan Hu , Yougen Xu

Flow Matching and Transformer architectures have demonstrated remarkable performance in image generation tasks, with recent work FlowAR [Ren et al., 2024] synergistically integrating both paradigms to advance synthesis fidelity. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Yingyu Liang , Zhizhou Sha , Zhenmei Shi , Zhao Song , Mingda Wan

With a careful design of sample spacings either in temporal and spatial domain, co-prime sensing can reconstruct the autocorrelation at a significantly denser set of points based on Bazout theorem. However, still restricted from Bazout…

Statistics Theory · Mathematics 2019-09-04 Hanshen Xiao , Guoqiang Xiao

The beamforming optimization in continuous aperture array (CAPA)-based multi-user communications is studied. In contrast to conventional spatially discrete antenna arrays, CAPAs can exploit the full spatial degrees of freedom (DoFs) by…

Information Theory · Computer Science 2025-06-13 Zhaolin Wang , Chongjun Ouyang , Yuanwei Liu

Designs for Order-of-Addition (OofA) experiments have received growing attention due to their impact on responses based on the sequence of component addition. In certain cases, these experiments involve heterogeneous groups of units, which…

Methodology · Statistics 2026-02-04 Chang-Yun Lin

Reconfigurable antenna technology, such as movable antennas (MAs) and rotatable antennas (RAs), has emerged as a promising solution to enhance the communication performance of wireless systems by exploiting the new degree of freedom (DoF)…

Signal Processing · Electrical Eng. & Systems 2026-04-07 Weijia Wang , Changsheng You , Xiaodan Shao , Rui Zhang

State-of-the-art (SoTA) models have improved the accuracy of object detection with a large margin via a FP (feature pyramid). FP is a top-down aggregation to collect semantically strong features to improve scale invariance in both two-stage…

Computer Vision and Pattern Recognition · Computer Science 2019-12-11 Ping-Yang Chen , Jun-Wei Hsieh , Chien-Yao Wang , Hong-Yuan Mark Liao , Munkhjargal Gochoo

In this paper, to jointly estimate the frequency and the direction-of-arrival(DOA) of the narrowband far-field signals, a novel array receiver architecture is presented by the concept of the sub-Nyquist sampling techniques. In particular,…

Information Theory · Computer Science 2017-02-07 Liang Liu , Ping Wei

We present a new construction of ordered orthogonal arrays (OOA) of strength $t$ with $(q + 1)t$ columns over a finite field $\mathbb{F}_{q}$ using linear feedback shift register sequences (LFSRs). OOAs are naturally related to $(t, m,…

Information Theory · Computer Science 2022-08-02 André Guerino Castoldi , Lucia Moura , Daniel Panario , Brett Stevens

In this paper, we propose a novel architecture for a lens antenna array (LAA) designed to work with a small number of antennas and enable angle-of-arrival (AoA) estimation for advanced 5G vehicle-to-everything (V2X) use cases that demand…

Signal Processing · Electrical Eng. & Systems 2023-06-30 Joo-Hyun Jo , Jae-Nam Shim , Chan-Byoung Chae , Dong Ku Kim , Robert W. Heath

Non-negative matrix factorization models based on a hierarchical Gamma-Poisson structure capture user and item behavior effectively in extremely sparse data sets, making them the ideal choice for collaborative filtering applications.…

Machine Learning · Computer Science 2016-05-27 Mehmet E. Basbug , Barbara E. Engelhardt

A semi-coprime array (SCA) interleaves two undersampled uniform linear arrays (ULAs) and a $Q$ element standard ULA. The undersampling factors of the first two arrays are $QM$ and $QN$ respectively where $M$ and $N$ are coprime. The…

Signal Processing · Electrical Eng. & Systems 2019-05-22 Kaushallya Adhikari
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