Dehui Yang
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View article: A Convex Demixing Approach for Hybrid-Field Channel Estimation of XL-MIMO Systems via Atomic Norm Minimization
A Convex Demixing Approach for Hybrid-Field Channel Estimation of XL-MIMO Systems via Atomic Norm Minimization Open
Channel estimation is a critical task in extremely large-scale multiple-input multiple-output (XL-MIMO) systems for 6G wireless communications. A hybrid-field channel model effectively characterizes the mixed far-field and near-field scatt…
View article: A Two-Dimensional Super-Resolution Method for Reconfigurable Intelligent Surface-Assisted Near-Field Localization
A Two-Dimensional Super-Resolution Method for Reconfigurable Intelligent Surface-Assisted Near-Field Localization Open
Reconfigurable intelligent surface (RIS)-aided localization in the radiating near-field requires range-aware spherical-wave models, which inherently couple angles and ranges and thus complicate accurate 3D positioning. Using the Fresnel ap…
View article: Gridless Chirp Parameter Retrieval via Constrained Two-Dimensional Atomic Norm Minimization
Gridless Chirp Parameter Retrieval via Constrained Two-Dimensional Atomic Norm Minimization Open
This paper is concerned with the fundamental problem of estimating chirp parameters from a mixture of linear chirp signals. Unlike most previous methods, which solve the problem by discretizing the parameter space and then estimating the c…
View article: Weighted Matrix Completion and Recovery With Prior Subspace Information
Weighted Matrix Completion and Recovery With Prior Subspace Information Open
An incoherent low-rank matrix can be efficiently reconstructed after observing a few of its entries at random, and then solving a convex program that minimizes the nuclear norm. In many applications, in addition to these entries, potential…
View article: Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples
Atomic Norm Minimization for Modal Analysis From Random and Compressed Samples Open
Modal analysis is the process of estimating a system's modal parameters such\nas its natural frequencies and mode shapes. One application of modal analysis\nis in structural health monitoring (SHM), where a network of sensors may be\nused …
View article: Atomic norm minimization for modal analysis with random spatial compression
Atomic norm minimization for modal analysis with random spatial compression Open
Identifying characteristic vibrational modes and frequencies is of great importance for monitoring the health of structures such as buildings and bridges. In this work, we address the problem of estimating the modal parameters of a structu…
View article: SNIPE for Memory-Limited PCA From Incomplete Data
SNIPE for Memory-Limited PCA From Incomplete Data Open
The linear subspace model is pervasive in science and engineering and particularly in large datasets which are often incomplete due to missing measurements and privacy issues. Therefore, a critical problem in modeling is to develop algorit…
View article: Super-Resolution of Complex Exponentials from Modulations with Unknown Waveforms
Super-Resolution of Complex Exponentials from Modulations with Unknown Waveforms Open
Super-resolution is generally referred to as the task of recovering fine details from coarse information. Motivated by applications such as single-molecule imaging, radar imaging, etc., we consider parameter estimation of complex exponenti…
View article: Research on a Remote Sensing Image Classification Algorithm Based on Decision Table
Research on a Remote Sensing Image Classification Algorithm Based on Decision Table Open
A remote sensing image classification algorithm based on decision table is proposed in this study.Firstly, image segmentation of remote sensing image was performed to extract feature attribute of image object.Then several samples were sele…