# wvd

Wigner-Ville distribution and smoothed pseudo Wigner-Ville distribution

## Syntax

## Description

specifies additional options for the smoothed pseudo Wigner-Ville distribution using
name-value pair arguments. You can specify `d`

= wvd(___,'smoothedPseudo',`Name,Value`

)`twin`

and
`fwin`

in this syntax, or you can omit them.

`wvd(___)`

with no output arguments plots the
Wigner-Ville or smoothed pseudo Wigner-Ville distribution in the current figure.

## Examples

## Input Arguments

## Output Arguments

## More About

## References

[1] Cohen, Leon.
*Time-Frequency Analysis: Theory and Applications*. Englewood Cliffs,
NJ: Prentice-Hall, 1995.

[2] Mallat, Stéphane. *A
Wavelet Tour of Signal Processing*. Second Edition. San Diego, CA: Academic
Press, 1999.

[3] O'Toole, John M., and Boualem
Boashash. "Fast and Memory-Efficient algorithms for Computing Quadratic Time-Frequency
Distributions." *Applied and Computational Harmonic Analysis*. Vol. 35,
Number 2, 2013, pp. 350–358.

## Extended Capabilities

## Version History

**Introduced in R2018b**