Skip to main content

2016 Lytle Lecture: David Donoho

The 2016-2017 Dean W. Lytle Lecture Series Presents

“Compressed Sensing: From Theory to Practice”

In the last decade, Compressed Sensing became an active research area, producing notable speedups in important practical applications. For example, Vasanawala, Lustig and co-workers at Stanford’s Lucille Packard Children’s hospital produced roughly 8X speedups using compressed sensing approaches in the aquisition time of Magnetic Resonance Images, and even larger speedups have been reported in other practical applications, such as Magnetic Resonance  spectroscopy. Over the same period,  theory in both applied mathematics and information theory developed extremely precise and insightful formulas. However, there are gaps between the two bodies of work, because the rules that practitioners must play by are not always the ones that theorists envision. In this talk, Professor Donoho will survey some recent developments, bringing theory and practice closer together, including multi-scale compressed sensing and cartesian product compressed sensing.


David Donoho

Professor David Donoho is the Anne T. and Robert M. Bass Professor of Humanities and Sciences and Professor of Statistics at Stanford University. 

Professor Donoho has made fundamental contributions to theoretical and computational statistics, as well as to signal processing and harmonic analysis. His algorithms have contributed significantly to our understanding of the maximum entropy principle, the structure of robust procedures and sparse data description. Over the last 30 years of research, Professor Donoho has focused on the overall “big challenge” — to recover, or simplify, information from symbols and images.

Among many awards, Professor Donoho was named a MacArthur Fellow, was elected as a SIAM (Society for Industrial and Applied Mathematics) Fellow, received the Shaw Prize for Mathematics and won the COPSS Presidents’ Award. He also received the Norbert Wiener Prize in Applied Mathematics and John von Neumann Prize.

When & Where

  • Monday, Nov. 7, 2016
  • 3:30-4:30 p.m.
  • Paul Allen Center Atrium (For directions, download this PDF.)
  • RSVP by Nov. 2

The Lytle Lecture Series

The Dean W. Lytle Electrical Engineering Endowed Lecture Series is the Department of Electrical Engineering’s premiere annual event, featuring internationally renowned researchers in the field of communications and signal processing. Lectures are free and open to the public.

2016 7 November
3:30pm–4:30pm, Mon, Nov 7th, 2016