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Convolution and optimal filtering in a fiber optic detection system.

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dc.contributor.author Li, Keben.
dc.date.accessioned 2012-06-26T13:20:33Z
dc.date.available 2012-06-26T13:20:33Z
dc.date.created 1996 en_US
dc.date.issued 2012-06-26
dc.identifier.uri http://hdl.handle.net/123456789/1512
dc.description v, 43 leaves en_US
dc.description.abstract The Fourier transform and the general methods of linear system theory are very important in the analysis of optical imaging systems. These tools are used to analyze a double-slit intensity pattern as measured by an optical fiber bundle connected to an inexpensive PASCO photodetector. The three important functions involved in this analysis are the input intensity function to the detector, the output of the detector and the response function which characterizes the detection system. The recorded data of the intensity pattern includes the effects of both noise and modification of the detection system. We have developed methods to eliminate these two effects and obtain an unspoiled double-slit diffraction pattern. These methods are discussed with a view towards developing an improved system in the future. en_US
dc.language.iso en_US en_US
dc.subject Fourier analysis. en_US
dc.subject Optical fibers. en_US
dc.title Convolution and optimal filtering in a fiber optic detection system. en_US
dc.type Thesis en_US
dc.college las en_US
dc.advisor Jorge Ballester en_US
dc.department physical sciences en_US

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