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  2. Convolution - Wikipedia

    en.wikipedia.org/wiki/Convolution

    The convolution of f and g exists if f and g are both Lebesgue integrable functions in L 1 (R d), and in this case f∗g is also integrable (Stein & Weiss 1971, Theorem 1.3). This is a consequence of Tonelli's theorem. This is also true for functions in L 1, under the discrete convolution, or more generally for the convolution on any group.

  3. Overlap–add method - Wikipedia

    en.wikipedia.org/wiki/Overlap–add_method

    DFT N and IDFT N refer to the Discrete Fourier transform and its inverse, evaluated over discrete points, and L {\displaystyle L} is customarily chosen such that N = L + M − 1 {\displaystyle N=L+M-1} is an integer power-of-2, and the transforms are implemented with the FFT algorithm, for efficiency.

  4. 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.

  5. Overlap–save method - Wikipedia

    en.wikipedia.org/wiki/Overlap–save_method

    where:. DFT N and IDFT N refer to the Discrete Fourier transform and its inverse, evaluated over N discrete points, and; L is customarily chosen such that N = L+M-1 is an integer power-of-2, and the transforms are implemented with the FFT algorithm, for efficiency.

  6. Convolution of probability distributions - Wikipedia

    en.wikipedia.org/wiki/Convolution_of_probability...

    The probability distribution of the sum of two or more independent random variables is the convolution of their individual distributions. The term is motivated by the fact that the probability mass function or probability density function of a sum of independent random variables is the convolution of their corresponding probability mass functions or probability density functions respectively.

  7. Cauchy product - Wikipedia

    en.wikipedia.org/wiki/Cauchy_product

    The Cauchy product may apply to infinite series [1] [2] or power series. [3] [4] When people apply it to finite sequences [5] or finite series, that can be seen merely as a particular case of a product of series with a finite number of non-zero coefficients (see discrete convolution).

  8. Cross-correlation - Wikipedia

    en.wikipedia.org/wiki/Cross-correlation

    Visual comparison of convolution, cross-correlation and autocorrelation.For the operations involving function f, and assuming the height of f is 1.0, the value of the result at 5 different points is indicated by the shaded area below each point.

  9. Savitzky–Golay filter - Wikipedia

    en.wikipedia.org/wiki/Savitzky–Golay_filter

    Advanced Convolution Coefficient Calculator (ACCC) for multidimensional least-squares filters Savitzky–Golay filter in Fundamentals of Statistics A wider range of coefficients for a range of data set sizes, orders of fit, and offsets from the centre point