Support for Implications of Compressive Sensing Concepts to Imaging Systems
Abstract
Compressive Sensing (CS) has emerged as field of study that has the potential to revolutionize the sensor industry, with applications that span across commercial, defense, security and medical domains. While the mathematics is well understood, in recent years there has been a surge of interest in harnessing the potential of CS to design real-world systems that provide significant benefits in reducing hardware cost/complexity, improve the data processing efficiency, and enabling new sensing capabilities that cannot be achieved using conventional techniques. The purpose of the Incubator was to seek answers about what is "real" in CS. Hence, the questions on the table were:1. Are there any concrete applications where CS has offered a quantifiable advantage over other State of the Art techniques? 2. What are the underlying factors that lead to these advantages? Are these factors transferable to other important applications? 3. When there is a clear benefit, what are the challenges that are holding it back from implementation? 4. What technology advances are required to make it a compelling technique to help meet current and future needs?
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 02, 2015
- Accession Number
- AD1001330
Entities
People
- Abhijit Mahalanobis
- Joe Mait
- Mark Neifeld
- Ravi Athale
Organizations
- Optica