Compare the strategy with evaluating a gaussian kernel

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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)

Reference no: EM131740080

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