| dc.contributor.advisor | Tomas Palacios and Rebecca Russell. | en_US |
| dc.contributor.author | Waltman, Nicholas(Nicholas W.) | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2020-11-23T17:39:25Z | |
| dc.date.available | 2020-11-23T17:39:25Z | |
| dc.date.copyright | 2019 | en_US |
| dc.date.issued | 2019 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1721.1/128574 | |
| dc.description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. | en_US |
| dc.description | Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, June, 2019 | en_US |
| dc.description | Cataloged from student-submitted PDF of thesis. | en_US |
| dc.description | Includes bibliographical references (pages 41-42). | en_US |
| dc.description.abstract | In this paper, an algorithm is introduced to use deep learning to perform automatic modulation classification in a sequential manner. At each time step, a decision is made whether to request more data or to return a classification decision. This allows for the data, and therefore time, needed to make a decision to be minimized while maintaining a high degree of accuracy. The performance of this algorithm is studied using multiple strategies and lists of modulations to be classified. | en_US |
| dc.description.statementofresponsibility | by Nicholas Waltman. | en_US |
| dc.format.extent | 42 pages | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | Sequential decision making for automatic modulation classification | 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 | en_US |
| dc.identifier.oclc | 1220877358 | en_US |
| dc.description.collection | M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science | en_US |
| dspace.imported | 2020-11-23T17:39:24Z | en_US |
| mit.thesis.degree | Master | en_US |
| mit.thesis.department | EECS | en_US |
