| Design of zero reference codes using cross-entropy method. | |
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MedLine Citation:
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PMID: 19997462 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper considers the use of autocorrelation properties to design zero reference codes (ZRCs) for optical applications. Based on the properties of the autocorrelation function, the design of an optimum ZRC problem is transformed into a minimization problem with binary variables, and the objective is to minimize the second maximum of the autocorrelation signal sigma. However, the considerable computational complexity for an exhaustive search through all combinations of (nn (1)l) different code patterns is a potential problem especially for large codes, where n and n1 are the length of the ZRC and the number of transparent slits, respectively. To minimize sigma while reducing the computational complexity at the same time, we introduce the Cross-Entropy (CE) method, an effective algorithm that solves various combinatorial optimization problems to obtain a good code. The computer simulation results show that compared with the conventional genetic algorithm (GA), the proposed CE obtains the better sigma with low computational complexity. |
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Authors:
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Jung-Chieh Chen |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Optics express Volume: 17 ISSN: 1094-4087 ISO Abbreviation: Opt Express Publication Date: 2009 Nov |
Date Detail:
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Created Date: 2009-12-09 Completed Date: 2010-03-22 Revised Date: 2010-05-28 |
Medline Journal Info:
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Nlm Unique ID: 101137103 Medline TA: Opt Express Country: United States |
Other Details:
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Languages: eng Pagination: 22163-70 Citation Subset: IM |
Affiliation:
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Department of Optoelectronics and Communication Engineering, National Kaohsiung Normal University, Kaohsiung, Taiwan. jcchen@nknucc.nknu.edu.tw |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Computational Biology / methods Computer Simulation Models, Genetic* Models, Statistical Mutation* Neural Networks (Computer) Optics and Photonics Software |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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