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Discrete Linear Canonical Transform Based on Hyperdifferential Operators

机译:基于超微分算子的离散线性规范变换

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Linear canonical transforms (LCTs) are of importance in many areas of science and engineering with many applications. Therefore, a satisfactory discrete implementation is of considerable interest. Although there are methods that link the samples of the input signal to the samples of the linear canonical transformed output signal, no widely-accepted definition of the discrete LCT has been established. We introduce a new approach to defining the discrete linear canonical transform (DLCT) by employing operator theory. Operators are abstract entities that can have both continuous and discrete concrete manifestations. Generating the continuous and discrete manifestations of LCTs from the same abstract operator framework allows us to define the continuous and discrete transforms in a structurally analogous manner. By utilizing hyperdifferential operators, we obtain a DLCT matrix, which is totally compatible with the theory of the discrete Fourier transform (DFT) and its dual and circulant structure, which makes further analytical manipulations and progress possible. The proposed DLCT is to the continuous LCT, what the DFT is to the continuous Fourier transform. The DLCT of the signal is obtained simply by multiplying the vector holding the samples of the input signal by the DLCT matrix.
机译:线性规范变换(LCT)在科学和工程学的许多领域中具有重要的应用。因此,令人满意的分立实施方式引起了极大的兴趣。尽管有一些方法可以将输入信号的样本链接到线性典范变换后的输出信号的样本,但是尚未建立广泛接受的离散LCT定义。我们引入一种新的方法,通过使用算子理论来定义离散线性规范变换(DLCT)。运算符是可以同时具有连续和离散具体表现形式的抽象实体。从相同的抽象算子框架生成LCT的连续和离散表现形式,使我们能够以结构相似的方式定义连续和离散变换。通过使用超微分算子,我们获得了与离散傅里叶变换(DFT)的理论及其对偶和循环结构完全兼容的DLCT矩阵,这使得进一步的分析操作和进步成为可能。所提出的DLCT是连续LCT,DFT是连续傅里叶变换。信号的DLCT只需将保存输入信号样本的矢量乘以DLCT矩阵即可获得。

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