Update wavanalysisexample.py
Wrote 3D plot code so we can get an idea of what the frequencies should look like; can't figure out what the axes are, so I'm handing it off to someone else.
Update wavanalysisexample.py
Added FileIO code - frequencies, volumes and centroids are all in text files. I realize now that frequencies take up way, way too much space (136MB) so I'll probably truncate the floating points and possibly pass data semi-realtime (in chunks) instead of all at once.
Added graphs of sample input.
Update README and wavanalysisexample.py
Added a few graphs to README to clarify the nature of the data we're analyzing; graph code is in wavanalysisexample.py and relies on matplotlib.
Update README.md and wavanalysisexample.py
Added code to calculate additional statistics - median and standard deviation- as well as summary statistics for the frequencies array. Added this data to the README; changed links in readme from speedcap (temporary image hoster) to photobucket (more permanent image hosting solution). Also noted that the number of frequencies given at any point in time is a function of the fourier transform size- .5x + 1 where x is the transform size. For example, we're using a transform size of 4096, so we get 2049 frequencies at any point in time; a transform size of 16 yields 9 frequencies at any point in time. This fact probably isn't useful but it's worth noting.
Formatted README.md.
Formatted README.md.
Removed waveproof- unnecessary prototyping code.
removed some unnecessary files
Merge pull request #3 from stuycs-ml7-projects/darylcubefield

Darylcubefield