For a non-zero overlap, the size of each FFT will remain exactly the same.  However some of the data points used in each successive FFT will be from the previous FFT window, thus allowing less completely new data points to make up the final length to be fed to that successive FFT.  Thus more overlap will create a larger number of blocks.

For an overlap of 128, the 2nd FFT uses 128 points from the end of the first FFT, and adds 128 new points from the data stream, to make up a total of 256 data points, the same length as the first FFT.  Rinse and repeat.  The number of blocks for 50% overlap will approach double that of the number for zero overlap.

STFT - DFT size of the bins
The example shown below (courtesy of David Eppstein) is a common example of a cubic graph  that admits no perfect matching:



Are there other examples of cubic graphs that do not admit a perfect matching and, unlike the above example, do not contain a vertex that lies at the intersection of three bridges (i.e. an edge whose removal increases the number of connected components in the graph)?
