Overview
- Provides nonparametric algorithms based on standard and unbalanced Haar bases
- Demonstrates applicability of nonlinear approximation schemes to nonlinear system identification
- Offers fast identification routines
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Statistics (LNS, volume 210)
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Table of contents (7 chapters)
Keywords
About this book
Reviews
From the book reviews:
“This book is focused on identification algorithms, in particular, nonparametric identification algorithms for nonlinear dynamic systems. … This book can be a good reference for people interested in the application of wavelets in a nonlinear system. The writing style of the book makes it easy to read.” (Don Hong, Mathematical Reviews, July, 2014)Authors and Affiliations
About the author
Bibliographic Information
Book Title: Nonlinear System Identification by Haar Wavelets
Authors: Przemysław Śliwiński
Series Title: Lecture Notes in Statistics
DOI: https://doi.org/10.1007/978-3-642-29396-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2013
Softcover ISBN: 978-3-642-29395-5Published: 12 October 2012
eBook ISBN: 978-3-642-29396-2Published: 12 October 2012
Series ISSN: 0930-0325
Series E-ISSN: 2197-7186
Edition Number: 1
Number of Pages: XI, 139
Number of Illustrations: 9 b/w illustrations, 18 illustrations in colour
Topics: Statistical Theory and Methods