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dc.contributor.advisorSilage, Dennis
dc.creatorRuddy, John
dc.date.accessioned2020-11-02T15:10:50Z
dc.date.available2020-11-02T15:10:50Z
dc.date.issued2012
dc.identifier.other864885774
dc.identifier.urihttp://hdl.handle.net/20.500.12613/2277
dc.description.abstractThis research provides the real-time computational resource for three dimensional tomographic chemical threat mapping using mobile hyperspectral sensors from sparse input data. The crucial calculation limiting real-time execution of the algorithm is the determination of the projection matrix using the algebraic reconstruction technique (ART). The computation utilizes the inherent parallel nature of ART with an implementation of the algorithm on a field programmable gate array. The MATLAB Fixed-Point Toolbox is used to determine the optimal fixed-point data types in the conversion from the original floating-point algorithm. The computation is then implemented using the Xilinx System Generator, which generates a hardware description language representation from a block diagram design.
dc.format.extent66 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectElectrical Engineering
dc.subjectAlgorithm Acceleration
dc.subjectFpgas
dc.subjectHigh Performance Computing
dc.subjectProgammable Gate Array
dc.titleComputational Acceleration for Next Generation Chemical Standoff Sensors Using FPGAs
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberHelferty, John J.
dc.contributor.committeememberChiang, Chen Huan
dc.description.departmentElectrical and Computer Engineering
dc.relation.doihttp://dx.doi.org/10.34944/dspace/2259
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreeM.S.E.E.
refterms.dateFOA2020-11-02T15:10:50Z


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