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  2. Circular convolution - Wikipedia

    en.wikipedia.org/wiki/Circular_convolution

    Circular convolution, also known as cyclic convolution, is a special case of periodic convolution, which is the convolution of two periodic functions that have the same period. Periodic convolution arises, for example, in the context of the discrete-time Fourier transform (DTFT).

  3. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    In mathematics (in particular, functional analysis), convolution is a mathematical operation on two functions (and ) that produces a third function (). The term convolution refers to both the resulting function and to the process of computing it.

  4. Circulant matrix - Wikipedia

    en.wikipedia.org/wiki/Circulant_matrix

    An circulant matrix takes the form = [] or the transpose of this form (by choice of notation). If each is a square matrix, then the matrix is called a block-circulant matrix.. A circulant matrix is fully specified by one vector, , which appears as the first column (or row) of .

  5. Discrete-time Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Discrete-time_Fourier...

    In mathematics, the discrete-time ... Fig.1 depicts an example where / ... An important special case is the circular convolution of sequences s and y defined by ...

  6. Autocorrelation - Wikipedia

    en.wikipedia.org/wiki/Autocorrelation

    Visual comparison of convolution, cross-correlation, and autocorrelation. For the operations involving function f , and assuming the height of f is 1.0, the value of the result at 5 different points is indicated by the shaded area below each point.

  7. Convolution theorem - Wikipedia

    en.wikipedia.org/wiki/Convolution_theorem

    In mathematics, the convolution theorem states that under suitable conditions the Fourier transform of a convolution of two functions (or signals) is the product of their Fourier transforms. More generally, convolution in one domain (e.g., time domain) equals point-wise multiplication in the other domain (e.g., frequency domain).

  8. Cross-correlation - Wikipedia

    en.wikipedia.org/wiki/Cross-correlation

    Also, the vertical symmetry of f is the reason and are identical in this example. In signal processing, cross-correlation is a measure of similarity of two series as a function of the displacement of one relative to the other. This is also known as a sliding dot product or sliding inner-product. It is commonly used for searching a long signal ...

  9. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    2D Convolution Animation. Convolution is the process of adding each element of the image to its local neighbors, weighted by the kernel. This is related to a form of mathematical convolution. The matrix operation being performed—convolution—is not traditional matrix multiplication, despite being similarly denoted by *.