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A Convolution Theorem for the Two Dimensional Fractional Fourier Transform in Generalized Sense

机译:广义意义上的二维分数阶傅里叶变换的卷积定理

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The two dimensional fractional Fourier transform (FrFT), which is a generalization of the Fourier transform, has many applications in several areas including signal processing and optics. Signal processing and pattern recognition algorithms make extensive use of convolution. In pattern recognition, convolution is an important tool because of its translation invariance properties. Also convolution is a powerful way of characterizing the input-output relationship of time invariant linear system. In this paper the convolution theorem for two dimensional fractional Fourier transform in the generalized sense is proved.
机译:二维分数阶傅里叶变换(FrFT)是傅里叶变换的概括,在包括信号处理和光学在内的多个领域中都有许多应用。信号处理和模式识别算法大量使用了卷积。在模式识别中,卷积由于其平移不变性而成为重要的工具。卷积也是表征时不变线性系统输入输出关系的有力方法。本文证明了广义分数维傅里叶变换的卷积定理。

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