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Title

Symbolic Z-transforms Using DSP Knowledge Bases
Authors

Brian L. Evans
Organization: University of Texas
Department: Department of Electrical and Computer Engineering
URL: http://www.ece.utexas.edu/~bevans/
James H. McClellan
Organization: Georgia Tech
Wallace B. McClure
Organization: Georgia Institute of Technology
Journal / Anthology

ICASSP '90 International Conference on Acoustics, Speech and Signal Processing (Cat. No.90CH2847-2)
Year: 1990
Volume: 3
Page range: 1775-1778
Description

Several symbolic mathematical programs have recently become available on a wide variety of machines. This paper describes the implementation of basic signal analysis and transforms for DSP with one of these systems known as Mathematica. By extending its capabilities through a proper representation of knowledge of discrete signals, operators, and transforms, Mathematica can take the forward and inverse z-transforms symbolically and apply the DFT as a symbolic summation.
Subject

*Engineering > Signal Processing