Question: One way to obtain a Gaussian kernel is to convolve a constant kernel with itself, many times. Compare this strategy with evaluating a Gaussian kernel.
1. How many repeated convolutions will you need to get a reasonable approximation? (you will need to establish what a reasonable approximation is; you might plot the quality of the approximation against the number of repeated convolutions).
2. Are there any benefits that can be obtained like this? (hint: not every computer comes with an FPU)