Geometric Methods with Application to Robust Detection and Estimation
Abstract
We have obtained a number of results pertaining th image compression, robust estimation, and robust signal detection. All of this work has admitted the presence of data whose statistics are imperfectly known. Our results have featured adaptivity, flexibility, and nontraditional approaches. In order to employ more realistic statistical models, we have directed our research to admit nonstationarity and dependency. Much of our work in robust estimation admit nonstationarity and dependency. Much of our work in robust estimation and detection has employed a geometric approach which we have originated in past research. Our geometric techniques provide a quantitive way to measure the degree of robustness, thus offering the designer more flexibility in the meeting the performance/robustness, needs of the user. Our most recent results have resulted in the admission of essentially arbitrary dependent data, thus leading the a number of important conclusions pertaining to signal detection and the estimation of a random variable.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1989
- Accession Number
- ADA206999
Entities
People
- Don R. Halverson
Organizations
- Texas A&M University