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Symmetric convolution of asymmetric multidimensional sequences using discrete trigonometric transforms

机译:使用离散三角变换的非对称多维序列的对称卷积

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This paper uses the fact that the discrete Fourier transform diagonalizes a circulant matrix to provide an alternate derivation of the symmetric convolution-multiplication property for discrete trigonometric transforms. Derived in this manner, the symmetric convolution-multiplication property extends easily to multiple dimensions using the notion of block circulant matrices and generalizes to multidimensional asymmetric sequences. The symmetric convolution of multidimensional asymmetric sequences can then be accomplished by taking the product of the trigonometric transforms of the sequences and then applying an inverse trigonometric transform to the result. An example is given of how this theory can be used for applying a two-dimensional (2-D) finite impulse response (FIR) filter with nonlinear phase which models atmospheric turbulence.
机译:本文利用了以下事实:离散傅里叶变换将循环矩阵对角化,从而为离散三角变换提供了对称卷积乘法属性的替代推导。以这种方式导出,对称卷积乘法特性使用块循环矩阵的概念轻松扩展到多个维度,并泛化为多维非对称序列。多维非对称序列的对称卷积可以通过获取序列的三角变换的乘积,然后对结果应用逆三角变换来实现。给出了一个示例,说明了该理论如何用于应用具有非线性相位的二维(2-D)有限冲激响应(FIR)滤波器,该滤波器模拟大气湍流。

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