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  1. 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 …

  2. 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, …

  3. conv2 - 2-D convolution - MATLAB - MathWorks

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

  4. 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 …

  5. 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.

  6. 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 …

  7. 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.

  8. 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.

  9. 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.

  10. 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.