Subnoise detection of a fast random event
Abstract
Discriminating signals within a noisy environment is an issue crucial to many disciplines, from observational astronomy to secure communication and imaging. If the signal is periodic, then averaging over many measurements can help enhance the signal-to-noise ratio. However, for signals that present as a single transient event, the detection capability has been limited. Ataie et al. developed a detector that can lift that limitation by combining signal cloning with frequency combs and signal-processing techniques (see the Perspective by Vasilyev). Their detector could detect signals buried within noise that would otherwise be undetectable.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 11, 2015
- Source ID
- 10.1126/science.aac8446
Entities
People
- B. P.-p. Kuo
- D. Esman
- N. Alic
- Stojan Radic
- V. Ataie
Organizations
- Defense Advanced Research Projects Agency
- University of California, San Diego