I apologize for the obscure phrasing of the title of the post...My question is quite simple...
Let us imagine an audio signal (any song will do). We want to apply the Short Time Fourier Transform algorithm, so we break our signal into frames and view each frame through a window. For the sake of the example let us assume the window is a Hanning window.
Many algorithms have a parameter to specify the sample at which to center the Hanning curve in a given frame. Now, let us assume that the dominant signal in that frame happens to fall near one of the the tails of the Hanning window for that frame. The window will then squash the importance of the sample and boost some samples which were not that prominent in the original signal. In essense, we have lost some possibly valuable information.
Would I then be correct in assuming that not only is the number of frames of importance in FT, but also the samples at which the window functions are centered?
Thanks in advance.