What is continuous wavelet (cwt) ,wavelet packet (wpt) and stockwell (S-T) computational complexity?

1. What is the difference between DWT and CWT?
2. What does a continuous wavelet transform do?
3. What do you meant by wavelet packet?

What is the difference between DWT and CWT?

To summarize: The CWT and the discrete wavelet transforms differ in how they discretize the scale parameter. The CWT typically uses exponential scales with a base smaller than 2, for example 2^1/12 . The discrete wavelet transform always uses exponential scales with the base equal to 2.

What does a continuous wavelet transform do?

In mathematics, the continuous wavelet transform (CWT) is a formal (i.e., non-numerical) tool that provides an overcomplete representation of a signal by letting the translation and scale parameter of the wavelets vary continuously.

What do you meant by wavelet packet?

Wavelet packet atoms are waveforms indexed by three naturally interpreted parameters: position, scale (as in wavelet decomposition), and frequency. For a given orthogonal wavelet function, we generate a library of bases called wavelet packet bases.