Among the desirable properties of an energy time-frequency distribution,
two of them are of particular importance: time and frequency
covariance. Indeed, these properties guaranty that, if the signal is
delayed in time and modulated, its time-frequency distribution is
translated of the same quantities in the time-frequency plane. It has been
shown that the class of energy time-frequency distributions verifying these
covariance properties possesses the following general expression:
where

is a two-dimensional function
called the
parameterization function. This class of distributions is known as the
Cohen's class,
which can also be written:
 |
|
|
(4.6) |
where
is the two-dimensional Fourier transform of the parameterization function

. This class is of significant importance since it includes a large number
of the existing time-frequency energy distributions. Of course, the WVD is
the element of the Cohen's class for which the function

is a double
Dirac:

, i.e.

.
In the case where
is a smoothing function, expression
(4.6) allows one to interpret
as a smoothed version of
the WVD; consequently, such a distribution will attenuate in a particular
way the interferences of the WVD.
Before considering different kinds of smoothing functions
, let us
point out the different advantages of such a unified formulation:
- by specifying the parameterization function
arbitrarily, it is
possible to obtain most of the known energy distributions;
- it is easy to convert a constraint that we wish for the distribution
in an admissibility condition for the parameterization function;
- it is possible, by using such admissibility arguments, to
check a priori the properties of a particular definition, or to construct a
class of solutions according to a specified schedule of conditions.
Eric Chassande-Mottin
2005-10-26