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Title:Optimal representation of experimental data
Author(s):Breeden, Joseph Lynn
Doctoral Committee Chair(s):Packard, Norman H.
Department / Program:Physics
Discipline:Physics
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Physics, General
Physics, Astronomy and Astrophysics
Abstract:No single state space reconstruction of experimental data is optimal for all scientific endeavors. This thesis is all about the coordinates used in reconstruction, the goals of reconstruction, and the criteria used to select optimal reconstructions. A learning algorithm is described, which when given a space of possible coordinates and an optimality criterion selects the best state space reconstruction. This method is applied to specific problems: modeling nonuniformly sampled data, computing the inferable dimension of a data set, and model-based control.
Issue Date:1992
Type:Text
Language:English
URI:http://hdl.handle.net/2142/22671
Rights Information:Copyright 1992 Breeden, Joseph Lynn
Date Available in IDEALS:2011-05-07
Identifier in Online Catalog:AAI9236400
OCLC Identifier:(UMI)AAI9236400


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