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29. Juni 2009, TU Hochhaus, Auditorium 1, 20.
|Der Vortrag findet statt im Rahmen des
Research Colloquium Usability.|
approximation attempts to model a signal using few terms selected from
a large set of functions (atoms) that can be defined with minimal
restrictions. Even though research in this area began more than 15
years ago within the signal processing field, the computational costs
associated with applying sparse approximation to audio data have
remained prohibitive until recently. Thus, such applications are just
now beginning to be explored. In my work, I specifically address the
use of sparse approximation to facilitate representations of audio
data to provide a rich interface to the contents of such signals for
purposes of analysis, extraction, and modification. This talk will
present an overview of such work.
Bob has received an undergraduate degree in
physics from the University of Colorado, Boulder (B.A. 1998), a
graduate degree in computer music from Stanford University (M.A.
1999), and a few other graduate degrees from the University of
California, Santa Barbara (M.S. 2004, M.S. 2007, Ph. D. 2009). He
continues his research in sparse approximation and signal
representation as a Chateaubriand Fellow post-doctoral researcher at
UPMC - Paris 06 with Professor Laurent Daudet.