3 papers
math.OC2026
The Rank-Collapse Principle for Quadratic Optimization
Mojtaba Soltanalian, Ahmad Mousavi
Quadratic optimization becomes hard as soon as either the matrix in the quadratic form has an unfavorable curvature or the feasible set is discrete, combinatorial, or otherwise non…
quant-ph2025
Quantum Compressive Sensing Meets Quantum Noise: A Practical Exploration
Naveed Naimipour, Collin Frink, Harry Shaw +2
Compressive sensing is a signal processing technique that enables the reconstruction of sparse signals from a limited number of measurements, leveraging the signal's inherent spars…
eess.SP2024
Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays
Ruxin Zheng, Shunqiao Sun, Hongshan Liu +3
Recent advancements in Deep Learning (DL) for Direction of Arrival (DOA) estimation have highlighted its superiority over traditional methods, offering faster inference, enhanced s…