Accession Number : ADA299683
Title : An Information Theory Approach to Three Incoherent Information Processing Systems,
Corporate Author : COLORADO UNIV AT BOULDER DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
Personal Author(s) : Dowski, Edward R., Jr
PDF Url : ADA299683
Report Date : 1995
Pagination or Media Count : 3
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.
Descriptors : *SYSTEMS ENGINEERING, *INCOHERENCE, *INFORMATION THEORY, *INFORMATION PROCESSING, DIGITAL SYSTEMS, OPTICAL EQUIPMENT, OPTIMIZATION, DETECTION, PASSIVE SYSTEMS, DEPTH, ESTIMATES, IMAGES, SAMPLING, RANGE FINDING.
Subject Categories : Operations Research
Distribution Statement : APPROVED FOR PUBLIC RELEASE