Modelling and Identification with Rational Orthogonal Basis Functions

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Edition: 2005
Binding: Kindle Edition
ISBN: B000VI147E

Modelling and Identification with Rational Orthogonal Basis Functions

Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. Download Modelling and Identification with Rational Orthogonal Basis Functions from rapidshare, mediafire, 4shared. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.

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