infomation about Stockwell Transform I need some information about Stockwell transform (also known as the S-transform):


How can I implement it in MATLAB?
*Does it give you the damping ratio $\zeta$ of a signal like the complex Morlet continuous wavelet? $$x(t)= e^{-\omega_{n}\zeta}\sin(\omega_{d}t+\theta )$$
What are its advantages compared to CWT?


The S-transform defined as follows: 
$$s( \tau ,f)= \int_{-\infty}^\infty h(t) \frac{\ |f|}{\ \sqrt{2 \pi } } e^{ \frac{-(t- \tau )^{2} f^{2}}{2}  }    e^{-j 2 \pi f} dt$$ (This is a good tutorial about the S-Transform)

These are the first few question that I can think about at the moment. It seems no one asked about the S-transform before, so put your questions in this post by editing it, and answer them if you know them. Someone with enough reputation put a tag for S-transform please. Thanks a lot.
The Matlab code of the S-transform can be found here for example: http://en.verysource.com/code/1180181_1/st.m.html

The main advantage compared to CWT is its simplicity. In fact, it can be seen as equivalent to a Morlet wavelet, see for example paper by Ventosa, Schimmel, Simon, Dañobeitia and Mànuel "The S-transform from a wavelet point of view", IEEE Trans on Signal Processing, 2008.