Howtosignalprocessing
- How do you read wavelet transform?
- Is wavelet a time frequency analysis?
- How does DWT work?
- What is the frequency of the wavelet?
How do you read wavelet transform?
The basic idea behind wavelet transform is, a new basis(window) function is introduced which can be enlarged or compressed to capture both low frequency and high frequency component of the signal (which relates to scale).
Is wavelet a time frequency analysis?
The continuous wavelet transform (CWT) is a time-frequency transform, which is ideal for analyzing nonstationary signals. A signal being nonstationary means that its frequency-domain representation changes over time.
How does DWT work?
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 frequency of the wavelet?
Although the classical FRF is not clear, two vibration modes can be observed in the amplitude of the wavelet-based FRF. The latter can be used to estimate the natural frequencies. The first natural frequency was found to be around 39 Hz whereas the second natural frequency was found to vary between 80 and 150 Hz.
