I am trying to replicate the MSK+CNN model in this research paper: https://ieeexplore.ieee.org/document/9760210/authors#authors
But I am not sure how to implement it correctly.

1. what does it mean by saying the range of the kernels at lth layer? I am assuming it means the kernel size.
2. I am having trouble to get the exact shape as in Fig.5 in this research paper by using kernel bank formulas. For example, my fi is from 1 to 15 and my yl is from 1 to 100. But when I ploted out the SK8 where fi = 8, I cannot get the straight line.

So I try to get the SKli to match the shape of the weights shape for my first conv1 first layer. And then since I am using PyTorch, then I just layer.weight.copy_ in a initialize function. and then just model.conv1.apply(lambda layer: initialize(layer))