• 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