Anton Semechko

@ Alec, thank you for pointing that out. I just resubmitted an updated version of RandSampleSphere function that does indeed produce stratified sampling of the unit sphere. It should appear shortly.

This is a pretty sloppy implementation of short-time FT. There are no default settings provided and the function throws an error if you specify a column vector instead of a row vector as a your input signal.

Thanks for clearing that up. Just so you know, your implementation could be substantially improved. For example, you don't have to loop through the individual points to determine if they are inside a polygon. The 'inpolygon' function that you are currently using, will accept a list of points and will return a logical array that could be used to index the points that fall inside the polygon.

Thanks for sharing your code.

One note. The "stratified" option in RandSampleSphere is not really stratified. In fact it is the same as the "uniform" option: a uniform sampling following "Spherical Sampling by Archimedes’ Theorem" [Shao & Badler 96]

A possible cause of your error is that you are using an older version Matlab, which does not recognize the meaning of the '~' placeholder.