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"convolution kernel" is a grammatically correct and usable phrase in written English.
You can use this phrase when referring to a mathematical function used in image processing or deep learning. For example, "We applied a convolution kernel to the image to blur the background."
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Therefore, convolution kernel approach can be introduced to get K.
A nonlinear hyperbolic Maxwell equation with an unknown solely time dependent convolution kernel is studied.
We use an adaptive 3D convolution kernel applied to the voxels of the distance transform model.
The width of the convolution kernel is determined by I z ~.
See also [4 6] for some further works on with convolution kernel.
It is worth pointing out that the kernel in (1.1) is convolution kernel.
Based on convolution kernel approach, matrix K can be constructed by Equation (5).
The width of this convolution kernel follows the instantaneous change in overall population, integrated over the simulated bandwidth.
In this contribution, the reconstruction of a solely time-dependent convolution kernel in an nonlinear parabolic equation is studied.
To this end we need some observations on the spectral radius of the -transform of the convolution kernel.
This operation is similar to normal 2D convolution, the only difference that in convolution kernel is rotated by 180°.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com