- Why windowing is used in signal processing?
- Which method in windowing has the least amount of distortion?
- What are the methods of signal processing?
Why windowing is used in signal processing?
Use smoothing windows to improve the spectral characteristics of a sampled signal. When performing Fourier or spectral analysis on finite-length data, you can use smoothing windows to minimize the discontinuities of truncated waveforms, thus reducing spectral leakage.
Which method in windowing has the least amount of distortion?
The rectangular window is the optimal choice if the user can choose a window length with no signal discontinuities. This window does not distort the spectral representation of the signal when there are no discontinuities.
What are the methods of signal processing?
In this paper, we made a study of four methods of signal processing: Hilbert transform, the cross correlation function, wavelet transform and method SSP.