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dc.contributor.authorKozaitis, S.P.
dc.contributor.authorThangwaritorn, Sila
dc.date.accessioned2017-10-06T18:16:04Z
dc.date.available2017-10-06T18:16:04Z
dc.date.issued2000-05-01
dc.identifier.citationKozaitis, S. P., & Thangwaritorn, S. (2000). Circular optimal trade-off and distance-classifier correlation filters. Optical Engineering, 39(5), 1162-1168.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1837
dc.descriptionComputational methods, Correlators, Errors, Light modulators, Optical correlation, Probability, Spurious signal noiseen_US
dc.description.abstractWe use circular versions of advanced distortion-invariant filters such as optimal trade-off synthetic discriminant function and distance classifier correlation filters to obtain rotation invariance with an optical correlator. The filter noise performance is compared using a common measure of probability of error because the filters have different characteristics. The filters are real-valued so they can be implemented on a variety of SLMs. The circular symmetry of the filters significantly decreases their computational requirement.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law. © 2016, SPIE. All rights reserved.en_US
dc.rights.urihttps://www.spiedigitallibrary.org/journals/optical-engineering/author-guidelinesen_US
dc.titleCircular optimal trade-off and distance-classifier correlation filtersen_US
dc.typeArticleen_US
dc.identifier.doi10.1117/1.602480


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