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The GPU-based convolution using the convolution theorem is described in [8].
To improve computational time the operation is done in the frequency domain using the convolution theorem of the Fourier-transform : (3).
Proof Applying the Laplace transform on both sides of (5.9), using the convolution theorem as well as Lemma 5.1, we find 1 p λ ∑ k 1, …, k r = 0 ∞ ( γ 1 ) k 1 ⋯ ( γ r ) k r k 1 !
By using the convolution theorem, we obtain hat{F}_{alpha } bigl( vartheta_{n}ast^{alpha } varepsilon_{m} bigr) =hat{F}_{alpha } bigl( theta_{m}ast^{alpha }delta_{n} bigr) quad ( m,nin N ).
For example, having a signal of 1000 × 1000 × 100 voxels and a filter kernel of 100 × 100 × 100 voxels, which is common in optical microscopy, the calculation using the convolution theorem takes tens of seconds, instead of several days, on the most recent CPU architecture.
It is used not only for calculating the Fourier coefficients but, using the convolution theorem, also for computing the convolution of two finite sequences.
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end{aligned}The estimate (2.7) is now deduced using the convolution identity (2.5) and Young's inequality (cf. [79, Chapter II, Theorem 1.15]).
DWT has traditionally been implemented using the convolution method.
In [44, 45], by making use of the convolution theorem for the Laplace transform and the logarithmically convex properties of the function q α, β ( x ) on ( 0, ∞ ), an alternative proof of Theorem 2 was supplied.
Fig. 2 Residuals after removing the smoothed DEM based on the convolution theorem using one-dimensional Gaussian filter: (Top) Sigma 0.45 (Middle) Sigma 0.65 (Bottom) Sigma 0.85.
Finally, apply the inverse of (mathcal{N}_{a}) and use the discrete convolution theorem, Proposition 2, or (27) to conclude that (g(t)=( ^{ABR} _{a}nabla^{alpha} f)(t)).
More suggestions(15)
using the factorization theorem
using the convolution method
using the convolution theory
using the correspondence theorem
using the embedding theorem
using the transfer theorem
using the convolution point
using the convolution φ
using the convolution model-convolution
using the passivity theorem
using the convolution operator
using the continuation theorem
using the convolution model
using the compactness theorem
using the divergence theorem
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com