Wavelet Stuff
Points:
Wavelets are easy to correct for counting statistics as are FFT's. I have empirically determined how the error in the correction changes with average count rate and scale, s. Maybe Jeff has done it the right way, i.e., analytically. Noise subtraction ability ==> excess noise is easy to find. Same thing is possible with FFTs, but requires throwing information away in order to get the scaled result. Throwing information away to get the same result means that extra work is being done (which is why FFTs are slower).
Time-Frequency Routines
Hmmm, I guess that my overall vision is tilting toward temporal variations of signals.