IEEE Awards Booklet - 2021 - 13

2021 IEEE MEDALS

IEEE Jack S. Kilby Signal Processing Medal
Sponsored by the IEEE Jack S. Kilby Signal Processing Medal Fund

Emmanuel Candès,
Terence Chi-Shen Tao, and Justin Romberg

For groundbreaking contributions to compressed sensing

Emmanuel Candès', Terence Chi-Shen Tao's, and Justin Romberg's remarkable line of research on compressed sensing (CS)
is considered one of the most important developments in signal
processing over the past 50 years impacting applications ranging
from medical imaging to astronomy. While the concept of signal
structure-that a complicated signal can be simplified through a
suitable transformation-had been a familiar concept in signal
processing theory and applications, their work shows how this
structure could be taken advantage of in acquisition. Their seminal 2006 paper " Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information, "
published in the IEEE Transactions on Information Theory, demonstrated that structured signals could be reconstructed perfectly
from very few samples. While traditional sampling theorems rely
on the signal being bandlimited or otherwise smooth, their results
proved that the number of incoherent measurements sufficient
to capture a signal is determined by its complexity, a quantity
roughly equivalent to the number of bits in an optimal compression of the signal. This, coupled with basic facts from modern
approximation theory, demonstrated that severely undersampled
signals can be reconstructed to high fidelity in many situations of
practical interest.Their efforts spurred a flurry of research activity
with hundreds of papers following up on their work and numer-

ous application domains trying to utilize their novel ideas. CS
has enabled a paradigm shift in several areas, including wireless
sensor networks, where it enables more efficient data aggregation and improved data recovery, and energy-efficient network
routing protocols, reduced data transmission requirements, and
improved network security. Perhaps the greatest success of CS to
date is in MRI imaging, where the technology is used to shorten
the imaging process drastically without any loss of image quality
and while using conventional machines. In astronomical imaging
the first images of black holes using the Event Horizon Telescope
were based around CS reconstruction methods.
A member of the U.S. National Academy of Science, Candès
is the Barnum-Simons Chair in Mathematics and Statistics and
director of Stanford Data Science at Stanford University, Stanford,
CA, USA.
A member of the Australian Academy of Sciences,Tao is a professor and the James and Carol Collins Chair in Mathematics at
the University of California, Los Angeles, Los Angeles, CA, USA.
An IEEE Fellow, Romberg is the Schlumberger Professor
and the associate chair for research at the School of Electrical and Computer Engineering and associate director for
the Center for Machine Learning at the Georgia Institute of
Technology, Atlanta, GA, USA.

Scope: For outstanding achievements in signal processing.

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IEEE Awards Booklet - 2021

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IEEE Awards Booklet - 2021 - 1
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