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dc.contributor.advisorSaman Amarasinghe.en_US
dc.contributor.authorAgrawal, Sitijen_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2006-06-19T17:40:16Z
dc.date.available2006-06-19T17:40:16Z
dc.date.copyright2004en_US
dc.date.issued2004en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/33099
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.en_US
dc.descriptionIncludes bibliographical references (p. 95-97).en_US
dc.description.abstractThe following thesis entails the construction, testing, modification, and analysis of two systems that couple sample ion introduction methods with a Differential Mobility Spectrometer (DMS). The sample ionization methods used with a custom designed interface for the DMS were Electrospray Ionization (ESI) and Atmospheric Pressure Matrix Assisted Laser Desorption Ionization (AP-MALDI). In addition to system development, Fourier transform and decision tree analyses were explored as alternatives to lead-cluster mapping and genetic algorithms for analyzing and classifying data produced by the systems for large biomolecules. Findings from testing and experiments using the prototype system have led to a second generation design of the interface. Results from data analysis have also provided new insights into different methods for classifying data whose form changes drastically for different sample introduction methods.en_US
dc.description.statementofresponsibilityby Sitij Agrawal.en_US
dc.format.extent97 p.en_US
dc.format.extent2965803 bytes
dc.format.extent2970807 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleLinear state-space analysis and optimization of StreamIt programsen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc62220152en_US


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