An Information Theory Approach to Three Incoherent Information Processing Systems,
Abstract
Many incoherent optical/digital systems can be used for non-imaging purposes, such as passive ranging. These systems cannot effectively be analyzed or designed in terms of traditional image-forming systems. Instead, such systems should be analyzed in terms of information theory. Through mathematical modelling of the sampled image, information theory can be used to optimize a given system. The Fisher Information matrix and the Cramer-Bao bound are two widespread and tractable measures of the information content of a signal. By analyzing information processing systems in terms of these measures of information, illuminating conclusions that are related to optimum design can be found. Such conclusions lead to necessary conditions that particular types of information processing systems must possess. We consider these necessary conditions for three incoherent optical systems, namely passive range estimation, extended depth of field, and passive range detection.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1995
- Accession Number
- ADA299683
Entities
People
- Edward R. Dowski Jr.
Organizations
- University of Colorado Boulder