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A New Perspective on the Two-Dimensional Fractional Fourier Transform and Its Relationship with the Wigner Distribution

机译:二维分数傅里叶变换及其与Wigner分布的关系的新视角

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The fractional Fourier transform F(w) with an angle of a function f(t) is a generalization of the standard Fourier transform and reduces to it when =/2. It has many applications in signal processing and optics because of its close relations with a number of time-frequency representations. It is known that the Wigner distribution of the fractional Fourier transform F(w) may be obtained from the Wigner distribution of f by a two-dimensional rotation with the angle in the t-w plane The fractional Fourier transform has been extended to higher dimensions by taking the tensor product of one-dimensional transforms; hence, resulting in a transform in several but separable variables. It has been shown that the Wigner distribution of the two-dimensional fractional Fourier transform F,phi(v,w) may be obtained from the Wigner distribution of f(x,y) by a simple four-dimensional rotation with the angle in the x-y plane and the angle phi in the v-w plane. The aim of this paper is two-fold: (1) To introduce a new definition of the two-dimensional fractional Fourier transform that is not a tensor product of two copies of one-dimensional transforms. The new transform, which is more general than the one that exists in the literature, uses a relatively new family of Hermite functions, known as Hermite functions of two complex variables. (2) To give an explicit matrix representation of a four-dimensional rotation that verifies that the Wigner distribution of the new two-dimensional fractional Fourier transform F,phi(v,w) may be obtained from the Wigner distribution of f(x,y) by a four-dimensional rotation. The matrix representation is more general than the one for the tensor product case and it corresponds to a four-dimensional rotation with two planes of rotations, one with the angle (+phi)/2 and the other with the angle (-phi)/2.
机译:具有函数f(t)的角度的分数傅里叶变换f(w)是标准傅里叶变换的广义,并且当= / 2时缩短到它。由于其与多个时间频率表示密切相关,因此在信号处理和光学中具有许多应用。已知分数傅里叶变换F(W)的Wigner分布可以通过与TW平面中的角度的二维旋转从F的角度分布获得,通过拍摄分数傅里叶变换延伸到更高的尺寸一维变换的张量产物;因此,导致若干但可分离的变量中的变换。已经表明,二维分数傅里叶变换F,PHI(V,W)的Wigner分布可以通过与角度的简单的四维旋转从F(x,y)的Wigner分布中获得XY平面和VW平面中的角度phi。本文的目的是两倍:(1),引入二维分数傅里叶变换的新定义,这不是一维变换副本的张量产物。新的转换比文献中存在的更广泛,它使用了一个相对较新的Hermite函数系列,称为两个复杂变量的Hermite函数。 (2)为了给出四维旋转的显式矩阵表示,其验证新的二维分数傅里叶变换F,PHI(V,W)的Wigner分布可以从F的Wigner分布获得(x, y)通过四维旋转。矩阵表示比张量产品壳体更通用,并且它对应于具有两个旋转平面的四维旋转,一个具有角度(+ PHI)/ 2的一个旋转,另一个具有角度(-phi)/ 2。

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