A System, Signals and Identification Toolbox in Mathematica with Symbolic Capabilities

Paper in proceeding, 2009

In this contribution we describe a signals, systems and identification toolbox for the symbolic computation system Mathematica. The toolbox provides functionality for computation of systems and signal theoretic ranging from frequency responses, zeros and poles to signal spectra and spectral factorizations. It also includes a wide range of identification algorithms ranging from spectral analysis to subspace and prediction error identification of models for non-linear systems. The symbolic capabilities of {\em Mathematica} are used to allow the user to construct very general model structures, and for pre-processing, such as gradient calculations, when optimizing the parameters in such structures.