3 papers
eess.SP2026
Wideband Large-Array Processing and Sparse Design for Angle Imaging
Ziyu Zhou, Wei Dai
This paper shows that wideband large-array processing can recover a large number of angle pixels with far fewer antenna elements. The key advantage of wideband signaling is that di…
eess.SP2024
A Low-rank Projected Proximal Gradient Method for Spectral Compressed Sensing
Xi Yao, Wei Dai
This paper presents a new approach to the recovery of a spectrally sparse signal (SSS) from partially observed entries, focusing on challenges posed by large-scale data and heavy n…
math.OC2024
Towards Scalable Semidefinite Programming: Optimal Metric ADMM with A Worst-case Performance Guarantee
Yifan Ran, Stefan Vlaski, Wei Dai
Despite the numerous uses of semidefinite programming (SDP) and its universal solvability via interior point methods (IPMs), it is rarely applied to practical large-scale problems.…