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Title:Optimal Representation of Experimental Data
Author(s):Breeden, Joseph Lynn
Director of Research:Packard, Norman H.
Department / Program:Physics
Discipline:Physics
Degree:Ph.D.
Genre:Dissertation
Subject(s):Experimental Data
Space Reconstruction
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
Genre:Dissertation / Thesis
Type:Text
Language:English
URI:http://hdl.handle.net/2142/29371
Other Identifier(s):3476423
Rights Information:©1992 Joseph Lynn Breeden
Date Available in IDEALS:2012-01-27


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