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Low Power Techniques for Analog Building Blocks of the Ultra Low Power Systems

dc.contributor.authorChen, Yen-Po
dc.date.accessioned2017-01-26T22:19:51Z
dc.date.availableNO_RESTRICTION
dc.date.available2017-01-26T22:19:51Z
dc.date.issued2016
dc.date.submitted2016
dc.identifier.urihttps://hdl.handle.net/2027.42/135872
dc.description.abstractBy the Moore’s law of technology scaling and Bell’s Law of prediction on the next generation small form factor computer class, the mm-scale sensor nodes are widely considered to be the next generation of computer class. With the limited size of the sensor nodes, the capacity of the battery is extremely small or can be even battery less. Therefore, the ultra-low power design technique is critical for those sensor nodes to sustain reasonable lifetime. Among all the building blocks of those sensor nodes, power consumption of analog parts benefits least from the technology scaling compared to the digital and the memory counterparts and widely becomes the dominant part of the power consumption of the system. Therefore, this thesis is focus on bringing down the power consumption of the analog circuits. The following techniques are described in this thesis with the order: First, an advanced sample and hold technique for bandgap voltage reference to duty-cycled the blocks and reducing the power consumption is presented. Second, a technique for reducing leakage power of the ESD clamp circuits by addressing both GIDL leakage and subthreshold leakage is presented. Third, a new trade-off technique between noise and bandwidth for the amplifier design is established in an ECG amplifier example. Fourth, an ECG sensor system shows the possibility to bring down the analog power consumption and balance the power consumption between analog and digital blocks by co-design with digital algorithm.
dc.language.isoen_US
dc.subjectCircuits
dc.subjectLow Power
dc.subjectAnalog
dc.subjectBandgap
dc.subjectESD
dc.subjectECG
dc.titleLow Power Techniques for Analog Building Blocks of the Ultra Low Power Systems
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineElectrical Engineering
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeememberSylvester, Dennis Michael
dc.contributor.committeememberChestek, Cynthia Anne
dc.contributor.committeememberBlaauw, David
dc.contributor.committeememberWentzloff, David D
dc.subject.hlbsecondlevelElectrical Engineering
dc.subject.hlbtoplevelEngineering
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/135872/1/ypchentw_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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