Description
Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date. * Enables the reader to use a wide variety of nonlinear system identification techniques. * Offers a thorough treatment of the underlying theory. * Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.
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A textbook for biomedical engineering students with a background in linear signals and systems equivalent to that taught in a junior-year undergraduate course in signals and systems. It compiles various analysis developed by different researcher into a common notation and framework to illuminate relationships between them. The theoretical problems can be solved with pencil and paper; the computer exercises use MATLAB. Annotation ©2004 Book News, Inc., Portland, OR (booknews.com)
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