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A Discrete Fractional Hankel Transform Based on the Eigen Decomposition of a Symmetric Kernel Matrix of the Discrete Hankel Transform

机译:基于离散Hankel变换的对称核矩阵的eIGEN分解的离散的分数嗜烟机变换

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Recently a discrete Hankel transform (DHT) has been introduced using a symmetric involutory kernel matrix T. Although Namias contributed the fractional Hankel transform (FRHT) in 1980, no discrete counterpart has appeared till now. Here a definition is proposed for a discrete fractional Hankel transform (DFRHT) based on the eigen decomposition of the diagonalizable matrix T. Being a real symmetric involutory matrix, T has two orthogonal eigen spaces corresponding to its two distinct eigenvalues. Simple explicit expressions are derived for the orthogonal projection matrices of T on its eigen spaces. Expressions are derived for the dimensions of the two eigen spaces in terms of the trace of matrix T. Initial orthonormal bases are generated for the two eigen spaces by the singular value decomposition of the orthogonal projection matrices. Final superior orthonormal bases - which better approximate samples of the eigen functions of the FRHT - are generated by either the Gram Schmidt algorithm or the orthogonal procrustes algorithm.
机译:最近,使用一个离散的Hankel变换(DHT)使用了一个对称的核心矩阵T.虽然Namias在1980年贡献了分数汉克尔变换(FRHT),但直到现在没有分离对应物。这里提出了一种基于对角化矩阵T的特征分解的离散分数Hankel变换(DFRHT)的定义。是真正对称的与之对称矩阵,T具有与其两个不同的特征值相对应的两个正交的特征空间。对于其特征空间上的T的正交投影矩阵导出了简单的显式表达式。在矩阵T的迹线方面,表达式用于两个特征空间的尺寸。通过正交投影矩阵的奇异值分解,为两个EIGEN空间产生初始正交基座。最终卓越的正交基座 - 通过克施密特算法或正交的促进算法来生成FRHT的eIGen函数的更好近似样本。

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