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Mathematica provides built-in functions for generating standard structure matrices and **convolution** kernels in any number of dimensions, in a form that can be used directly in ...

Constructing matrices with special shapes. This creates a matrix of 0s containing a radius 4 diamond of 1s. The result is a 9×9 matrix. The size of the matrix can be ...

DiscreteConvolve[f, g, n, m] gives the **convolution** with respect to n of the expressions f and g. DiscreteConvolve[f, g, {n_1, n_2, ...}, {m_1, m_2, ...}] gives the ...

Convolve[f, g, x, y] gives the **convolution** with respect to x of the expressions f and g.Convolve[f, g, {x_1, x_2, ...}, {y_1, y_2, ...}] gives the multidimensional ...

DirichletConvolve[f, g, n, m] gives the Dirichlet **convolution** of the expressions f and g.

ListLineIntegralConvolutionPlot[{array, image}] generates a line integral **convolution** plot of image convolved with the vector field defined by an array of vector field ...

LineIntegralConvolutionScale is an option to LineIntegralConvolutionPlot and related functions that determines the scale of the line integral **convolution** to be used.

CUDAImageConvolve[img, kern] gives the **convolution** of img with kern.CUDAImageConvolve[list, kern] gives the **convolution** of list with kern.CUDAImageConvolve[mem, kern] gives ...

ImageConvolve[image, ker] gives the **convolution** of image with kernel ker.