Howtosignalprocessing
- What can wavelet be used for?
- Why is wavelet analysis effective?
- How many types of wavelets exist?
- How do wavelets differ from waves?
What can wavelet be used for?
As a mathematical tool, wavelets can be used to extract information from many different kinds of data, including – but not limited to – audio signals and images. Sets of wavelets are needed to analyze data fully.
Why is wavelet analysis effective?
The wavelet transform (WT) can be used to analyze signals in time–frequency space and reduce noise, while retaining the important components in the original signals. In the past 20 years, WT has become a very effective tool in signal processing.
How many types of wavelets exist?
There are two types of wavelet transforms: the continuous wavelet transform (CWT) and the discrete wavelet transform (DWT). Specifically, the DWT provides an efficient tool for signal coding.
How do wavelets differ from waves?
Wavelet means “small wave” i.e. wave that doesn't last forever.
