
conv - Convolution and polynomial multiplication - MATLAB
The convolution of two vectors, u and v, represents the area of overlap under the points as v slides across u. Algebraically, convolution is the same operation as multiplying polynomials …
Convolution - MATLAB & Simulink - MathWorks
Convolution is a mathematical operation that combines two functions to describe the overlap between them. Convolution takes two functions and “slides” one of them over the other, …
conv2 - 2-D convolution - MATLAB - MathWorks
This MATLAB function returns the two-dimensional convolution of matrices A and B.
Correlation and Convolution - MATLAB & Simulink - MathWorks
Signal Processing Toolbox™ provides a family of correlation and convolution functions that let you detect signal similarities. Determine periodicity, find a signal of interest hidden in a long data …
convmtx - Convolution matrix - MATLAB - MathWorks
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.
conv - Convolution et multiplication polynomiale - MATLAB
La convolution des deux vecteurs u et v représente la zone de superposition des points lorsque v glisse sur u. D’un point de vue algébrique, la convolution est une opération identique à la …
Deconvolution - MATLAB & Simulink - MathWorks
Deconvolution, or polynomial division, is the inverse operation of convolution. Deconvolution is useful in recovering the input to a known filter, given the filtered output.
cconv - Modulo-n circular convolution - MATLAB - MathWorks
Generate two signals of different lengths. Compare their circular convolution and their linear convolution. Use the default value for n.
conv - Convolution and polynomial multiplication of fi objects
This MATLAB function returns the convolution of input vectors a and b, at least one of which must be a fi object.
transposedConv2dLayer - Transposed 2-D convolution layer
A transposed 2-D convolution layer upsamples two-dimensional feature maps. The standard convolution operation downsamples the input by applying sliding convolutional filters to the input.