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# Circular convolution example

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We now use the Convolution Theorem to define convolution for graphs. The Convolution Theorem states that the Fourier transform of the convolution of two functions is the pointwise product of their Fourier transforms:

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Calculates the convolution y= h*x of two discrete sequences by using the fft. The convolution is defined as follow: The convolution is defined as follow: Overlap add method can be used. circular convolution in the spatial domain, thus implementing convolution using a Fourier transform could account for wrap-around structures. This technique is quite common for Correlation Filters [9] and occasionally also discussed in the context of neural networks for image processing [10]. Spherical images A typical source of panoramic images