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Xampling: Analog-to-Digital at Sub-Nyquist Rates
| What |
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| When |
Oct 21, 2009 from 10:00 AM to 11:00 AM |
| Where | Engr IV Room 57-124 |
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Yonina Eldar
MIT
Wednesday, October 21 at 10:00am
Engr IV Room 57-124
Abstract
Signal processing methods have changed substantially over the last
several decades. The number of operations that are shifted from analog
to digital is constantly increasing. While technology advances enable
mass processing of huge data streams, the acquisition capabilities do
not scale sufficiently fast so that the conversion to digital has become
a serious bottleneck. For some applications, the maximal frequency of
the input signals,
which dictates the Nyquist rate, already exceeds the possible rates
achievable with existing devices.
In this talk, we present a new framework for sampling wideband analog signals at rates far below that dictated by the Nyquist rate. We refer to this methodology as Xampling: A combination of compression and sampling, performed simultaneously. Xampling merges results from standard sampling theory with recent developments in the field of compressed sensing in order to directly sample a wide class of analog signals at very low rates using existing hardware devices. This paradigm relies on exploiting structure inherent to many different classes of signals, which can be modeled mathematically as a union of subspaces.
We begin by introducing the Xampling methodology and explaining why both sampling and compressed sensing alone are insufficient to address low rate sampling of a wide variety of analog signals. We then consider some specific examples including low rate sampling of multiband signals, recovery of time delays from low rate samples, and more generally sampling and recovery over finite and infinite structured unions of subspaces.
Biography
Yonina C. Eldar received the B.Sc. degree in Physics in 1995 and the
B.Sc. degree in Electrical Engineering in 1996 both from Tel-Aviv
University (TAU), Tel-Aviv, Israel, and the Ph.D. degree in Electrical
Engineering and Computer Science in 2001 from the Massachusetts
Institute of Technology (MIT), Cambridge.
From January 2002 to July 2002 she was a Postdoctoral Fellow at the Digital Signal Processing Group at MIT. She is currently an Associate Professor in the Department of Electrical Engineering at the Technion - Israel Institute of Technology, Haifa, Israel. She is also a Research Affiliate with the Research Laboratory of Electronics at MIT.
