Time-based signal representation and its applications to data conversion, filtering, and control is coming at 08/02/2017 - 2:00pm
KEC 1005 Wed, 08/02/2017 - 2:00pm Pavan Hanumolu Associate Professor, Electrical and Computer Engineering, University of Illinois Urbana-Champaign Abstract: Classical analog and mixed signal processing functions such as filtering and analog to digital conversion are performed in voltage, current, or charge domains. High precision is typically achieved by processing voltage/current/charge domain signals using high gain amplifiers embedded in negative feedback. However, achieving high gain in deeply scaled and beyond CMOS technologies is difficult. In this talk, I will present time-based signal representation as an alternative to classical voltage or charge-based signal representations. I will then show how this representation enables the implementation of fundamental building blocks such as integrators using mostly digital circuits. Finally, I will present examples of time-based analog filters, analog to digital converters, phase-locked loops, and DC-DC converters to highlight the advantages, opportunities, and drawbacks of the time-based approach. Bio: Read more: http://eecs.oregonstate.edu/colloquium/time-based-signal-representation-... [1] [1] http://eecs.oregonstate.edu/colloquium/time-based-signal-representation-and-its-applications-data-conversion-filtering-and
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