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首页> 外文期刊>Signal Processing, IEEE Transactions on >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
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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

机译:最小共域基数Riesz基构造,Hadamard-Sylvester算子系统和一类稀疏二进制优化问题之间的等价关系

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摘要

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 $ell_1$ 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.
机译:构造分段低阶多项式Riesz基族,以使它们在局部索引子集中共享更平滑,正交基数的相同系数函数。结果表明,在分布导数中,通过 $ ell_1 $ 正则化,可以通过诱导稀疏性来实现最小基数共域的基本函数,并且可以通过在适当大的字典上进行约束二进制优化在数值上找到最佳构造。此外,结果表明,这些解决方案的子集等效于通过Sylvester型Hadamard算子得出的特定的受限分析解决方案。

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