I can't understand why they used completely different input signals as a comparison. Is convolving using some sort of smooth derivative of each useful? Or, is

I can't understand why they used completely different input signals as a comparison. Is convolving using some sort of smooth derivative of each useful? Or, is that too sensitive to noise?