Title
Theoretical Framework For The Design Of Purely Real Synthetic-Discriminant-Function-Type Correlation Filters
Abstract
A general algorithm for synthesizing purely real correlation filters in the frequency domain is developed by using the method of Lagrange multipliers. This method can be applied to filters that are derived by using linearly constrained quadratic minimization. The synthesis of purely real versions of minimum average correlation energy filters, minimum-variance synthetic discriminant functions, and other synthetic-discriminant-function-type filters is discussed to illustrate this approach. Their performance is found to be somewhat less than that of the original complex filters but still adequate for practical applications. The main advantage of this approach is that optimum purely real filters can be generated that are easy to implement in spatial fight modulators without holograms and that yield the correlation output on the zero-order beam. © 1992 Optical Society of America.
Publication Date
1-1-1992
Publication Title
Applied Optics
Volume
31
Issue
35
Number of Pages
7450-7456
Document Type
Article
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/AO.31.007450
Copyright Status
Unknown
Socpus ID
84975608625 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84975608625
STARS Citation
Mahalanobis, Abhijit and Song, Sewoong, "Theoretical Framework For The Design Of Purely Real Synthetic-Discriminant-Function-Type Correlation Filters" (1992). Scopus Export 1990s. 988.
https://stars.library.ucf.edu/scopus1990/988