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Sparse Representation of Data

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Morten Nielsen, Aalborg University

What
  • Analysis Seminar
When Tue, Nov 21, 2006
from 02:10 PM to 03:00 PM
Where RH 316
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Abstract: Sparse approximation techniques have been at the core of a rapidly evolving and very active area of research since the 1990s. Their most visible technological success has certainly been in the compression of high-dimensional data with wavelets. However, approximating a signal or an image with a sparse linear expansion from a possibly overcomplete dictionary of basis functions (called atoms) has turned out to be an extremely useful tool to solve many other signal processing problems. In this talk, I will discuss some of the mathematical and computational aspects of sparse representations using redundant dictionaries in a finite dimensional space.

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