An ARM-based sequential sampling oscilloscope
Author(s)Jin Stone, Qiaodan (Qiaodan Jordan)
Acorn reduced instruction set computing machine-based sequential sampling oscilloscope
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Gerald Jay Sussman.
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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.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (page 141).
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology
Electrical Engineering and Computer Science.