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In our experimental study we addressed the issue of the variability of coronary plaque attenuation by varying the convolution filters (Fig. 4).
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By varying the shape of the convolution kernel, we are able to obtain the feature distribution in regions with different shapes.
The others had Clinton ahead by varying spreads.
We recognize the sequence { y r j ′ ( n ) = F r j ( n - ℓ ) s r j ( V ℓ ) } as the output of a MIMO 2D space varying convolution between the constituting matrices F r j, q ( n ) defined in (16), and the tensor slice at range Vℓ corresponding to depth d k, which we denote by S d k ( V ℓ ).
We denote by ∗ the convolution.
Here we denote by ∗ the convolution.
Notation Throughout the paper, we denote by ∗ the convolution.
Interconversion is carried out by evaluating numerically the convolution integral.
It is constructed by the convolution of exponential distribution.
The last of these is described by the convolution integral (CI).
The flexure is calculated by the convolution of the crustal load with the point-load flexure response curves.
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