how to plot Pseudo-Wigner Ville Distribution (PWVD) and Smooth Wigner Ville Distribution (SPWVD) of a signal in matlab

how to plot Pseudo-Wigner Ville Distribution (PWVD) and Smooth Wigner Ville Distribution (SPWVD) of a signal in matlab code. Is CWT is more superior than PWVD and SPWVD. matlab code for STFT for same signal

Answer 1

[R]

Hi Rakesh,

You can plot Wigner Ville Distribution(WVD) in MATLAB using the "wvd" function. To plot the Smooth Pseudo Wigner Ville Distribution(SPWVD), you can use the "smoothedPseudo" option with the "wvd" function. Refer to the following documentation for an example of the same:

https://www.mathworks.com/help/signal/ref/wvd.html

Regarding whether Continuous Wavelet Transform(CWT) is superior to WVD and SPWVD, the choice between CWT, PWVD, and SPWVD depends on the specific requirements of your analysis and the characteristics of the signal you are working with.

CWT provides good time and frequency localization, making it suitable for analyzing signals with time-varying frequency content. On the other hand, WVD and SPWVD are commonly used for time-frequency analysis of non-stationary signals. They provide high-resolution representations of the signal's time-frequency content.

To understand more about CWT, WVD and STFT methods and their examples, you can refer to the following link:

https://www.mathworks.com/help/signal/ug/time-frequency-gallery.html

I hope this helps you understand about different time-frequency analysis techniques!

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