Transformation wavelet is divided in two parts, which is a continue wavelet transform (CWT) and discrete wavelet tranform (DWT). 

Article The Shift Invariant Discrete Wavelet Transform (SIDWT) with ...

Thanks for sharing your article sir. I want to know about wavelet packets and how is it different from wavelet transformation? 

Hi Prabal,

compared to the discrete wavelet transform the Wavelet Packet transform essentially decomposes not only the low pass filtered part of a signal (the approximation coefficients) but also the high pass filtered part (the detail coefficients) yielding a higher frequency resolution even in higher frequencies.

Greetings, Sebastian

Hi Sebastian,

Thanks for your valuable comment. So if I use wavelet packet transform instead of DWT for my data, will that give me a more robust model? 

Hi Prabal,

unfortunately it's not that easy; it depends very much on the data and the task you have to accomplish which version of the wavelet transform is most appropiate for you. Probably you won't come through going more into detail of wavelets by yourself in order to decide which version is the best one.

Greetings, Sebastian

Thank you Sebastian.