IEEE Awards Booklet - 2017 - 11

2017 ieee medals

IEEE Jack S. Kilby Signal Processing
Medal

IEEE Richard W. Hamming Medal
Sponsored by Qualcomm, Inc.

Sponsored by Texas Instruments, Inc.

Shlomo Shamai

Martin Vetterli

For fundamental contributions to information theory and wireless communications

For fundamental contributions to
advanced sampling, signal representations, and multirate and multiresolution
signal processing

Considered one of the most influential and productive information theorists of today, the fundamental and cutting-edge contributions of Shlomo Shamai have been central to continued progress
in wireless communications systems by addressing areas such as
channel capacity, secure transmission, and the building blocks for
next-generation wireless systems. Multiple-input, multiple-output
(MIMO) technology multiplies the capacity of wireless communications networks, and Shamai has provided the most conclusive
results on MIMO broadcast channels as an enabler of capacity expansion. He demonstrated that Costa (dirty paper) coding is the
fundamental method for capacity-optimal signaling. His work has
inspired much follow-up research toward the goal of achieving
full capacity in MIMO broadcast channels. Shamai is among the
first who introduced large random matrix concepts into information theory, which has had important implications for analyzing
the performance of multiuser detection algorithms and quantifying the theoretical limits of multiantenna communication. Shamai
and his collaborators provided inspiring and fundamental analytic
connections between information and estimation in a Gaussian regime. His outage capacity concept has spanned beyond information theory as a useful tool to study the impact of antenna design
on channel capacity. Shamai was instrumental in developing an understanding of efficient communications of fading channels, where
severe interference from obstacles and propagation can degrade
signal quality. He was among the first to study cellular communications in the fading regime and also presented the concept of blockfading channels.This concept has become a standard model allowing for progress in understanding fading channels. Shamai's recent
work has addressed a rich variety of aspects in cooperative cellular communication models and physical-layer security in wireless
networks, including developing basic security results for MIMO
systems and characterizing the ability of fading broadcast channels
to support variable-rate secured data transmission. He is also contributing to the foundations for cloud-based radio networks and
next-generation (5G and beyond) wireless network architectures.
An IEEE Fellow and recipient of the 2011 Claude E. Shannon
Award, Shamai is a Distinguished Professor, The Andrew & Erna
Viterbi Faculty of Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Israel.

One of the founding fathers of filter bank and wavelet theory, the
signal processing algorithms and architectures developed by Martin Vetterli have helped advance the audio coding, image compression, and wireless technologies critical to our multimedia communications world.Vetterli's Ph.D. thesis established a theory of filter
banks and efficient implementations that made filter banks an essential signal processing tool and launched a new wave of applications. In this research he proposed multidimensional subband coding, which is now an integral component of the JPEG2000 image
compression standard. His concept of perfect transmultiplexing
now allows designers to perfectly modulate signals onto a single
channel, enabling orthogonal frequency division multiplexing in
WiFi systems. And his concept of nonseparable multidimensional
filter banks are used in today's high-dimensional image and video
processing methods.Vetterli then went on to propose solutions for
joint source-channel coding based on multiresolution concepts.
This work has been critical to enabling video over the Internet.
He also introduced multiresolution for broadcast television, which
allows graceful degradation and backward compatibility between
HDTV and standard television. His contributions to joint sourcechannel coding for video multicasting over the Internet accommodates multiple users with varying channels or access rates.
Vetterli has also made groundbreaking contributions to sampling
and quantization techniques for bridging the analog and digital
worlds. He derived a new sampling theory for signals of finite
rate innovation related to compressed sensing, which provides
improvements to oversampling methods for analog-to-digital
conversion (ADC). This permits high bandwidth signals with
low-dimensional representation to be sampled at radically lower
bandwidth signal with a low-dimensional representation to be
sampled at radically lower rates. Vetterli's work on FRI has made
compressed sensing one of the hottest topics in signal processing
and has important implications for the design of new ADCs, cameras, radars, and medical imaging devices.
An IEEE Fellow,Vetterli is the president of and a professor in the
School of Computer and Communications Sciences at Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Scope: For exceptional contributions to information sciences, systems, and technology.

Scope: For outstanding achievements in signal processing.

11 | 2017 IEEE awards bOOkLET



Table of Contents for the Digital Edition of IEEE Awards Booklet - 2017

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