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The Wigner-Ville distribution: A High Resolution Time-Frequency
Distribution:
 |
|
|
(8) |
Notice this looks DFT-like.
Despite High resolution, ``cross-terms may lead to an erroneous visual interpretation of
the signal's time-frequency structure.'' (See overhead figures.)
So apply lowpass filter to get a Cohen-class Time-Frequency
representation:
 |
|
|
(9) |
where
acts as a ``two-dimensional lowpass
filter," or time-frequency window.
Important concept: This is smoothing over the WV distribution,
which itself is DFT-like. So one must remember that we are
smoothing over a region in the time-frequency grid.
Now, to do reassignment: find smoothed center of gravity in time
and in frequency:
In our current application, this smoothing will simply be the WV
distribution of the familiar time domain windowing function
, or:
NEAT TRICK: when we do this, it can be shown (see Auger and
Flandarin) that we can make equations 10 and 11
into equations in terms of just three modified STFTs!
Hand-wavy explanation of how to massage those equations into
STFTs: recall Fourier theory:
multiply by the time variable
differentiate
in frequency
multiply by frequency variable
differentiate
in time
Since we may arrange the equations around the window
and
its transform, we see that these operations need apply only to the
window. This leads to a convenient implementation...
Next: Implementation via STFTs for
Up: Time-Frequency Reassignment (Charpentier 1986,
Previous: Quick Intro
Aaron S. Master
2003-02-04