DaveC426913 said:
You're saying that a single pulse would be heard as white noise - i.e. hissing.
No, the Fourier transform of a delta function is not the same as the Fourier transform of Gaussian white noise. The Fourier transform of a delta function is a constant in both magnitude and phase. The Fourier transform of Gaussian white noise is also Gaussian white noise. In other words, if you take noise in one domain you get noise in the other domain. Noise is not constant (neither amplitude nor phase).
When noise is white it is uncorrelated, meaning that the value of the noise in one sample is not a function of the value of the noise in any other sample. Because of this, if you repeatedly sample Gaussian white noise you will have the same AVERAGE value at all frequencies. This is not the same as having a constant value at all frequencies. A constant has no spread in values at different frequencies, while Gaussian white noise would have a spread about the mean described by the standard deviation of the noise distribution (normal distribution).
cesiumfrog said:
See, this is the problem with basing too much on Fourier decomposition. Yes, mathematically there is equality between an infinitely sharp sound pulse (with silence forever before and after) and a continuous spectrum of pure notes playing (for all eternity, timed from the beginning to meet exactly in phase at that one moment). Neither basis represents exactly what human hearing is sensitive to
I agree completely with that. The Fourier transform and its basis functions are not exactly what we are sensitive to. Our auditory system is much more complicated and much messier. However, it is a very good first-order approximation in most cases and it has a lot of value in understanding basic questions like this thread.
cesiumfrog said:
(imagine if you could listen to each of those separate notes before you had even decided to make the clap, and couldn't even distinguish the clap-moment since you're oblivious to phase); that question is better answered by modelling hearing with a driven set of harmonic oscillators (with a finite range of different natural frequencies): you hear a "crack" when a wide range of those oscillators are just momentarily excited.
The wide range of frequencies obtained through Fourier decomposition is a good approximation to your wide range of oscillators. It is not exact, but conveys the basic idea in much clearer terms that more people are familiar with.
DaveC426913 said:
This was my reaction too, though I'm not versed in this science.
"Fourier transform of a delta function is a constant." sounds great, but doesn't sound like it has a lot of applicability to reality.
Certainly there is no such thing as a perfect delta function in reality, but I was trying to present the concept clearly and succintly. The basic point is that the shorter the duration of any pulse the broader it's bandwidth. So a clap or a brief sound pulse will not just have a single frequency, but will have a broad range of frequency components. It is actually not too difficult to make a pulse that would cover the whole audio range, it would only have to be less than about 25 us duration. It would be perfectly reasonable to approximate any sound pulse less than about 25 us or so as a delta function for most purposes.