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  2. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    The convolution of and is written , denoting the operator with the symbol . [B] It is defined as the integral of the product of the two functions after one is reflected about the y-axis and shifted.

  3. Operators in C and C++ - Wikipedia

    en.wikipedia.org/wiki/Operators_in_C_and_C++

    All the operators (except typeof) listed exist in C++; the column "Included in C", states whether an operator is also present in C. Note that C does not support operator overloading. When not overloaded, for the operators && , || , and , (the comma operator ), there is a sequence point after the evaluation of the first operand.

  4. 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).

  5. Discrete Fourier transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_Fourier_transform

    Where c is the vector of coefficients for c(x), and the convolution operator ...

  6. Kernel (image processing) - Wikipedia

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

    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 *.

  7. Multidimensional discrete convolution - Wikipedia

    en.wikipedia.org/wiki/Multidimensional_discrete...

    In signal processing, multidimensional discrete convolution refers to the mathematical operation between two functions f and g on an n-dimensional lattice that produces a third function, also of n-dimensions. Multidimensional discrete convolution is the discrete analog of the multidimensional convolution of functions on Euclidean space.

  8. Green's function - Wikipedia

    en.wikipedia.org/wiki/Green's_function

    If the operator is translation invariant, that is, when has constant coefficients with respect to x, then the Green's function can be taken to be a convolution kernel, that is, (,) = (). In this case, Green's function is the same as the impulse response of linear time-invariant system theory .

  9. Circulant matrix - Wikipedia

    en.wikipedia.org/wiki/Circulant_matrix

    Then, from the perspective of operator theory, a circulant matrix is the kernel of a discrete integral transform, namely the convolution operator for the function (,, …,); this is a discrete circular convolution.