Is online Continuous Wavelet Transform possible?

1. How do you find the continuous wavelet transform?
2. What is the disadvantage of wavelet transform?
3. How does a continuous wavelet transform work?
4. What is the difference between continuous and discrete wavelet transform?

How do you find the continuous wavelet transform?

Continuous wavelet transform (CWT) is defined as adding all the time signals and multiplying by the shift version of the wavelet. The output of the continuous wavelet transform gives the wavelet coefficients as the output.

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.

How does a continuous wavelet transform work?

Like the Fourier transform, the continuous wavelet transform (CWT) uses inner products to measure the similarity between a signal and an analyzing function. In the Fourier transform, the analyzing functions are complex exponentials, e j ω t . The resulting transform is a function of a single variable, ω.

What is the difference between continuous and discrete wavelet transform?

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.