ACA'99
 1999 IMACS Conference on Applications of Computer Algebra

Special Session: Applications of Computer Algebra to Signal Processing

Session Organizers:

Jeremy Johnson, jjohnson@mcs.drexel.edu, http://www.mcs.drexel.edu/~jjohnson
Dept. of Mathematics and Computer Science, Drexel University,
Philadelphia, PA, U.S.A. 

Markus Pueschel, pueschel@ece.cmu.edu, http://avalon.ira.uka.de/home/pueschel/
Dept. of Electrical and Computer Engineering, Carnegie Mellon University,
Pittsburgh, PA, U.S.A.

Beginning with Winograd's work on the arithmetic complexity of signal
processing algorithms such as convolution, digital filtering, and the discrete
Fourier transform, there has been much work devoted to the application of
algebraic methods in the design and implementation of signal processing
algorithms.  More recently a theory of fast generalized signal transforms has
been developed where techniques from computational group theory play a
significant role.  Various computer algebra systems have been utilized to
implement these and other ideas.  This session is devoted to exploring areas in
signal processing for which algebra and algebraic computation may be
beneficial.

List of potential topices:
*  Design and implementation of fast signal transforms
*  Design and implementation of digital filters
*  Application of customized signal transforms
*  Enhancing existing signal processing toolboxes with computer algebra