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Nonlinear Least Squares in ℝ N

Nonlinear Least Squares in ℝ N Recent research and new paradigms in mathematics, engineering, and science assume nonlinear signal models of the form ℳ=∪ i∈I V i consisting of a union of subspaces V i instead of a single subspace ℳ=V. These models have been used in sampling and reconstruction of signals with finite rate of innovation, the Generalized Principle Component Analysis and the subspace segmentation problem in computer vision, and problems related to sparsity, compressed sensing, and dictionary design. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Acta Applicandae Mathematicae Springer Journals

Nonlinear Least Squares in ℝ N

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References (33)

Publisher
Springer Journals
Copyright
Copyright © 2009 by Springer Science+Business Media B.V.
Subject
Mathematics; Mathematics, general; Computer Science, general; Theoretical, Mathematical and Computational Physics; Complex Systems; Classical Mechanics
ISSN
0167-8019
eISSN
1572-9036
DOI
10.1007/s10440-008-9398-9
Publisher site
See Article on Publisher Site

Abstract

Recent research and new paradigms in mathematics, engineering, and science assume nonlinear signal models of the form ℳ=∪ i∈I V i consisting of a union of subspaces V i instead of a single subspace ℳ=V. These models have been used in sampling and reconstruction of signals with finite rate of innovation, the Generalized Principle Component Analysis and the subspace segmentation problem in computer vision, and problems related to sparsity, compressed sensing, and dictionary design.

Journal

Acta Applicandae MathematicaeSpringer Journals

Published: Jan 21, 2009

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