654 citations · 1.9k across the 149 of their papers we have counts for
36 papers · 1 filter
Diffusion-Prior Split Gibbs Sampling for Synthetic Aperture Radar Imaging under Incomplete Measurements
Hefei Gao, Tianyao Huang, Letian Guo +2
Synthetic aperture radar (SAR) imaging plays a critical role in all-weather, day-and-night remote sensing, yet reconstruction is often challenged by noise, undersampling, and compl…
Joint Sensing, Communication, and Computation for Vertical Federated Edge Learning in Edge Perception Network
Xiaowen Cao, Dingzhu Wen, Suzhi Bi +4
Combining wireless sensing and edge intelligence, edge perception networks enable intelligent data collection and processing at the network edge. However, traditional sample partit…
Ultra-Massive MIMO with Orthogonal Chirp Division Multiplexing for Near-Field Sensing and Communication Integration
Ziwei Wan, Zhen Gao, Fabien Heliot +6
This paper integrates the emerging ultra-massive multiple-input multiple-output (UM-MIMO) technique with orthogonal chirp division multiplexing (OCDM) waveform to tackle the challe…
Sparse Principal Component Analysis with Energy Profile Dependent Sample Complexity
Mengchu Xu, Jian Wang, Yonina C. Eldar
We study sparse principal component analysis in the high-dimensional, sample-limited regime, aiming to recover a leading component supported on a few coordinates. Despite extensive…
Deep Unfolding: Recent Developments, Theory, and Design Guidelines
Nir Shlezinger, Santiago Segarra, Yi Zhang +4
Optimization methods play a central role in signal processing, serving as the mathematical foundation for inference, estimation, and control. While classical iterative optimization…
mSQUID: Model-Based Leanred Modulo Recovery at Low Sampling Rates
Yhonatan Kvich, Rotem Arie, Hana Hasan +2
Modulo sampling enables acquisition of signals with unlimited dynamic range by folding the input into a bounded interval prior to sampling, thus eliminating the risk of signal clip…