IEEE SSCS/CAS Webinar by Prof. Yannis Tsividis: Continuous-Time DSP: An Agile, Power-Adaptive, Event-Driven Approach to Real-Time Signal Processing
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Prof. Tsividis of Columbia University
Continuous-Time DSP: An Agile, Power-Adaptive, Event-Driven Approach to Real-Time Signal Processing
In conventional digital signal processors, the only use of timing is through the ubiquitous clock, which synchronizes all sampling and computational activity. Clocks are difficult to synchronize over a large chip, dissipate large power, introduce latency, and most importantly carry no information. In this presentation, we will review techniques for utilizing timing to advantage, in ways that require no clocking. The resulting systems use continuous-time binary signals that carry information in both the amplitude and time dimensions, and dissipate energy only when signal activity demands it. The presentation will be tutorial in nature.
Biography:
Yannis P. Tsividis is the Edwin Howard Armstrong Professor of Electrical Engineering at Columbia University. He received the B.E.E. degree from the University of Minnesota, Minneapolis, and the M.S. and Ph.D. degrees from the University of California, Berkeley. He has worked on analog and mixed-signal integrated circuits at the device, circuit, system, signal processing, and computer simulation level. He has received the IEEE W.R.G. Baker Award for the best IEEE publication, the ISSCC Lewis Winner Outstanding Paper Award, the IEEE Circuits and Systems Education Award, and the IEEE Gustav Robert Kirchhoff Award. He is a Life Fellow of IEEE and a member of the US National Academy of Engineering.
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