This MATLAB function returns the convolution of vectors u and v.

Convolution is a mathematical operation that combines two signals and outputs a third signal. See how convolution is used in image processing, signal processing, and deep learning.

This MATLAB function returns the two-dimensional convolution of matrices A and B.

Correlation and Convolution Cross-correlation, autocorrelation, cross-covariance, autocovariance, linear and circular convolution Signal Processing Toolbox™ provides a family of correlation and …

This MATLAB function returns the convolution of input vectors a and b, at least one of which must be a fi object.

A 2-D convolutional layer applies sliding convolutional filters to 2-D input. The layer convolves the input by moving the filters along the input vertically and horizontally and computing the dot product of the …

This MATLAB function returns the convolution matrix, A, such that the product of A and an n-element vector, x, is the convolution of h and x.

Circular Convolution and Linear Convolution Generate two signals of different lengths. Compare their circular convolution and their linear convolution. Use the default value for n.

Smooth noisy, 2-D data using convolution. You can use convolution to smooth 2-D data that contains high-frequency components. Create 2-D data using the peaks function, and plot the data at various …

This example shows how to filter images using either correlation or convolution operations.