Howtosignalprocessing
- How wavelet transform can be used in filtering?
- Is wavelet transform a filter?
- Why the wavelet is ideal for detecting ECG?
How wavelet transform can be used in filtering?
The application of wavelet transform splits the signal into two parts: a set of low-frequency components with higher amplitude values, and a set of high-frequency components with lower amplitude values. The portion of the signal energy allocated for each sub-band determines the filtering performance.
Is wavelet transform a filter?
A Wavelet transform is similar to a Fast Fourier Transform (FFT), in that it breaks a signal or image down into frequency components. Those components can be modified and transformed back to produce a filtered image.
Why the wavelet is ideal for detecting ECG?
The nature of the wavelet transform is such that it is well suited to analysis of signals in which a more precise time resolution is required for higher frequencies than for lower ones; that is, the wavelet transform is suitable for locating discontinuities or singularities, in which high‐frequency components dominate.
