What?
...You seem to be working under the assumption that charge moves discretely, i.e., that an electron flow is a superposition of square waves?
This is not in fact physically true, in most cases; and even if it were, the statistics are not simply some square wave of fixed amplitude distributed evenly, but noise statistics follow what's appropriate for the situation. Most importantly of which, full shot noise is Poissonian. Many noise sources can be sub-Poissonian, due to the continuous freedom of movement that charges have, within say, a conductor; full shot noise only occurs when a sufficiently large (irreversable?) barrier is crossed by the charge (like a reverse-biased semiconductor junction).
You can still produce square wave transforms of ordinary signals; the resulting function or series is not necessarily very useful for signal processing purposes. The Hadamard transform is such an example.
Regarding DSP, it might be handy to have a conversion between the traditional Fourier transform, and the Hadamard transform or such. AFAIK, while they give similar results, converting between the two still takes equivalent effort, so you probably don't stand to save much by devising an algorithm that uses this as a shortcut.
Tim