Harvesting Preconditioning for Scalable High-Resolution Signal and Image Reconstruction
Abstract
The goal of the proposed research program is to accelerate ill-conditioned signal and image reconstruction via the power of preconditioning, using a novel trajectory-based analysis framework that tightly integrates the statistical and optimization aspects of high-dimensional signal estimation in an intertwined manner. The proposed research program, if successful, will establish a comprehensive framework of understanding and designing tailored first-order methods with accelerated convergence rates for ill-conditioned nonconvex signal and image reconstruction with provable statistical, computational and robustness guarantees, which are of critical importance for extracting fine-grained and weak information in resource-constrained and sample-starved environments.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2025
- Source ID
- FA95502510060
Entities
People
- Yuejie Chi
Organizations
- Air Force Office of Scientific Research
- Carnegie Mellon University
- United States Air Force