Week 7 completed

Gary Plunkett, Zach Malek
(1) The shorter the pulse width, the more accurate the fourier
transform becomes. (Up until a pulse on the order of 10us, 
the signal seems to become too 'vapid' at that point). Less 
interference between different frequencies as the pulse becomes 
shorter?

(2) Changing the sampling rate effects the visible range of frequencies.
This is a result of Nyquist's theorem, which says that you need a
sampling rate of about 2x the frequency you wish to observe. So
we could only see up to ~500Hz w/ a sampling rate of 1000Hz, etc.

(3) When the signal is barely detectable (gain is low), the power
spectrum starts off much too noisy to be of any use, and ends up
 quite readable  as the random noise averages out.