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Figure:
Example time-frequency tiling for the STFT.
Vertical line spacing indicates time resolution, and horizontal line
spacing indicates frequency resolution (both fixed). The area of the
rectangular cells are bounded below by the minimum time-bandwidth
product (see §B.1.17 for one definition).
![\includegraphics[width=3in]{eps/timefreq}](img1272.png) |
The basic STFT parameters control the following time-frequency properties:
- The window length
determines the time and frequency
resolution of the STFT. In general, frequency resolution is
inversely proportional to time resolution. An example STFT
time-frequency tiling is shown in
Fig.7.16.
- In the DFT, the time-frequency resolution is
uniform, i.e., frequency bins are linearly spaced, and data
frames are uniformly spaced in time, as shown in
Fig.7.16. In Chapter 10, we will look
also at the ``constant-Q'' time-frequency tiling, which is closer to
audio perception than the rectangular tiling of the STFT.
- The FFT length
determines
- the degree of spectral interpolation, and
- the degree of spectral modifications which are
possible without time aliasing.
The FFT length minus the data window length,
, gives the amount
of zero-padding we are using for spectral interpolation. Only
oversampled (interpolated) spectra can be modified
multiplicatively without causing time aliasing.
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