{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/100591"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/100591","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"An ARM-based sequential sampling oscilloscope","abstract":"Sequential 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.","abstract_html":"Sequential 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.","abstract_has_math":false,"creators":["Jin Stone, Qiaodan (Qiaodan Jordan)"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Gerald Jay Sussman."],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014","date_published":"2014","updated_at":"2026-07-22T22:21:27Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"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. 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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."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M. Eng."]},{"key":"dc:title","label":"Title","values":["An ARM-based sequential sampling oscilloscope"]}]}],"canonical_facts":{"dc:contributor.advisor":["Gerald Jay Sussman."],"dc:contributor.department":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science."],"dc:creator":["Jin Stone, Qiaodan (Qiaodan Jordan)"],"dc:date.accessioned":["2016-01-04T19:56:41Z"],"dc:date.available":["2016-01-04T19:56:41Z"],"dc:date.issued":["2014"],"dc:description":["Thesis: M. 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