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dc.contributor.advisorGerald Jay Sussman.en_US
dc.contributor.authorJin Stone, Qiaodan (Qiaodan Jordan)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-01-04T19:56:41Z
dc.date.available2016-01-04T19:56:41Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100591
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.en_US
dc.descriptionThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.en_US
dc.descriptionCataloged from student-submitted PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (page 141).en_US
dc.description.abstractSequential equivalent-time sampling allows a system to acquire repetitious waveforms with frequencies beyond the Nyquist rate. This thesis documents the prototype of a digital ARM-based sequential sampling oscilloscope with peripheral hardware and software. Discussed are the designs and obstacles of various analog circuits and signal processing methods. By means of sequential sampling, alongside analog and digital signal processing techniques, we are able to utilize a 3MSPS ADC for a capture rate of 24MSPS. For sinusoids between 6-12MHz, waveforms acquired display at least 10dB of SNR improvement for unfiltered signals and at least 60dB of SNR improvement for aggressively filtered signals.en_US
dc.description.statementofresponsibilityby Qiaodan (Jordan) Jin Stone.en_US
dc.format.extent141 pagesen_US
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/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleAn ARM-based sequential sampling oscilloscopeen_US
dc.title.alternativeAcorn reduced instruction set computing machine-based sequential sampling oscilloscopeen_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.oclc932124678en_US


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