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dc.contributor.advisorGerald Jay Sussman.en_US
dc.contributor.authorGordonson, Joshua Michaelen_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2016-12-22T15:17:36Z
dc.date.available2016-12-22T15:17:36Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/105988
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.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.description.abstractThe hands-on side of electrical engineering is still taught using solderless breadboards. To lower the learning curve and improve the utility of solderless breadboards, I have designed and implemented a prototype that draws schematic diagrams of passive circuits that are built on a breadboard. The system reverse engineers circuits by means of a network sensing algorithm, which iteratively grounds and excites nodes with voltage sources, and subsequently measures the resulting currents and voltages in the network. Both a software simulation and a hardware implementation were built to test the network sensing algorithm. The sofware system is capable of reverse-engineering arbitrarily sized RLC networks with some caveats regarding high-q parallel RLC networks. The hardware system is able to accurately detect resistive and capacitive networks with eight nodes, though current hardware limitations significantly reduce the precision of measurment. The performance of the hardware system was analyzed and solutions to many of the measurement issues were found. A technique for surface-mount soldering breadboards to PCBs is presented in this thesis.en_US
dc.description.statementofresponsibilityby Joshua Michael Gordonson.en_US
dc.format.extent63 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.titleReverse-engineering RLC networks with in-circuit measurementen_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.oclc965796157en_US


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