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Convolution

Convolution is a mathematical operation applied to two functions that produces a third function. It is widely used in various fields such as signal processing, image processing, computer vision, and more.

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It is widely used in various fields such as signal processing, image processing, computer vision, and more. The convolution of two functions is obtained by sliding one function over the other, multiplying the overlapping portions, and summing the results. This operation allows for a wide range of applications including filtering, feature extraction, image recognition, and noise reduction. The Wikipedia page on convolution provides a detailed explanation of its definition, properties, applications, and theorems associated with it. It also explores different types of convolutions such as discrete convolution, continuous convolution, and circular convolution. Additionally, the page discusses various algorithms and techniques used to compute convolutions efficiently, such as the Fast Fourier Transform (FFT). Overall, the Wikipedia page offers a comprehensive overview of convolution, making it a valuable resource for anyone seeking information on this fundamental mathematical operation.

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