Discrete Wavelet Transform With Overlaps

1. What is maximal overlap discrete wavelet transform?
2. What are the properties of discrete wavelet transform?
3. What is the disadvantage of wavelet transform?
4. What is the difference between continuous wavelet transform and discrete wavelet transform?

What is maximal overlap discrete wavelet transform?

Maximal overlap discrete wavelet packet transform (MODWPT) is a time-invariant transform as proposed in Ref. [36]. In MODWPT, the input signal is decomposed into several coefficients using low- and high-pass filters for several decomposition levels as shown in Fig. 1(c).

What are the properties of discrete wavelet transform?

A discrete wavelet transform (DWT) is a transform that decomposes a given signal into a number of sets, where each set is a time series of coefficients describing the time evolution of the signal in the corresponding frequency band.

What is the disadvantage of wavelet transform?

Although the discrete wavelet transform (DWT) is a powerful tool for signal and image processing, it has three serious disadvantages: shift sensitivity, poor directionality, and lack of phase information.

What is the difference between continuous wavelet transform and discrete wavelet transform?

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.