New Theory and Methods for Low-Dimensional Signal Modeling, Sensing, and Processing
Abstract
ExplorThe rapid growth of sensing and imaging technology combined with the need for near real-time action based on the sensed data has rendered automated processing, understanding, and decision-making vital to our national security. One of the most exciting new sensing/processing approaches is compressive sensing (CS), which combines low-dimensional signal models, randomized dimensionality reduction, and large-scale computational signal recovery algorithms to greatly reduce data acquisition costs. This research program aims to explore, characterize, optimize, and introduce new tradeoffs amongst the components of the CS framework, in order to broaden its applicability, improve its performance in the wild, and enable radically new sensing and processing capabilities.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Dec 20, 2017
- Source ID
- N000141812047
Entities
People
- Richard G. Baraniuk
Organizations
- Office of Naval Research
- Rice University
- United States Navy