Choi-William's distribution

The Choi Williams distribution (CWD), is given by the relation,

$$\rho(t,f) = \int_{-\infty}^\infty \int_{-\infty}^\infty h\le... ...-\pi^2\sigma\frac{(u-t)^2}{\tau^2} - 2\pi i \tau f} d\tau du,$$ (10.1.223)

where $\sigma$ is the width of the window. As described in section we again need to oversample the data train at least by a factor of two. Also it is to be noted that the Choi-Williams transform is quite expensive to compute.