Signal Processing in pandas
I'm interested in using pandas in a signal processing context (for analysis of neuroscience data). I want to make use of the great time series capabilities of pandas, but it seems focused on a different scale of time than in neuroscience. It should work on any timescale though. It's a bit strange to have a `time` column be a `datetime` object in which there are changes in the microsecond, so it'd be good to have an easier interface for micro-timescale time series objects. Additionally, it looks like seconds is the lowest timescale currently supported by pandas. 

I see that there are `nanoseconds`  and `datetime64` branches, and a few other timeseries changes in the pipeline -- is this kind of timescale issue being looked at right now? If so, how can I get involved in it? If not, any pointers in implementing this kind of change?
