DocumentCode
9672
Title
On the Equivalence Between a Minimal Codomain Cardinality Riesz Basis Construction, a System of Hadamard–Sylvester Operators, and a Class of Sparse, Binary Optimization Problems
Author
Nelson, J.D.B.
Author_Institution
Dept. of Stat. Sci., Univ. Coll. London, London, UK
Volume
62
Issue
20
fYear
2014
fDate
Oct.15, 2014
Firstpage
5270
Lastpage
5281
Abstract
Piecewise, low-order polynomial, Riesz basis families are constructed such that they share the same coefficient functionals of smoother, orthonormal bases in a localized indexing subset. It is shown that a minimal cardinality basis codomain can be realized by inducing sparsity, via l1 regularization, in the distributional derivatives of the basis functions and that the optimal construction can be found numerically by constrained binary optimization over a suitably large dictionary. Furthermore, it is shown that a subset of these solutions are equivalent to a specific, constrained analytical solution, derived via Sylvester-type Hadamard operators.
Keywords
Fourier series; optimisation; polynomials; Hadamard-Sylvester operator system; binary optimization problem; constrained binary optimization; low-order polynomial; minimal codomain cardinality Riesz basis construction; Approximation methods; Context; Dictionaries; Dynamic range; Optimization; Polynomials; Signal processing; $ell_p$ regularization; Fourier series; Riesz bases; basis construction; sparsity basis selection;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2014.2345346
Filename
6870501
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