Imaging in Heterogeneous Media with the Noise Collector

Abstract

The ability to detect sparse signals from noisy, high-dimensional data is a top priority in modern science and engineering. For optimal results, current approaches need to tune parameters that depend on the level of noise, which is often di?cult to estimate. The purpose of this project is to introduce and develop a new parameter-free imaging method in Heterogeneous Media.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2021
Source ID
FA95502010026

Entities

People

  • Alexei Novikov

Organizations

  • Air Force Office of Scientific Research
  • Pennsylvania State University
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Electronics Engineering
  • Medical Imaging.