dc.contributor.advisor | Saman Amarasinghe. | en_US |
dc.contributor.author | Agrawal, Sitij | en_US |
dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
dc.date.accessioned | 2006-06-19T17:40:16Z | |
dc.date.available | 2006-06-19T17:40:16Z | |
dc.date.copyright | 2004 | en_US |
dc.date.issued | 2004 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/33099 | |
dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. | en_US |
dc.description | Includes bibliographical references (p. 95-97). | en_US |
dc.description.abstract | The 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.statementofresponsibility | by Sitij Agrawal. | en_US |
dc.format.extent | 97 p. | en_US |
dc.format.extent | 2965803 bytes | |
dc.format.extent | 2970807 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | en_US |
dc.publisher | Massachusetts Institute of Technology | en_US |
dc.rights | M.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.uri | http://dspace.mit.edu/handle/1721.1/7582 | |
dc.subject | Electrical Engineering and Computer Science. | en_US |
dc.title | Linear state-space analysis and optimization of StreamIt programs | en_US |
dc.type | Thesis | en_US |
dc.description.degree | M.Eng. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.identifier.oclc | 62220152 | en_US |