- What is windowing in spectral analysis?
- What is phase spectrum of a signal?
- How does windowing reduce spectral leakage?
- What is the spectrum of a sampled signal?
What is windowing in spectral analysis?
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.
What is phase spectrum of a signal?
The phase spectrum specifies the phase of signal components as a function of. component frequency. This phase is measured with respect to a cosine reference.
How does windowing reduce spectral leakage?
Spectral leakage is caused by discontinuities in the original, noninteger number of periods in a signal and can be improved using windowing. Windowing reduces the amplitude of the discontinuities at the boundaries of each finite sequence acquired by the digitizer.
What is the spectrum of a sampled signal?
The sampled signal has a spectrum that is periodic at the sampling frequency (20 Hz) and has an even symmetry about 0.0 Hz, as well as symmetry about the sampling frequency, fs. Since the sampled spectrum is periodic, it goes on forever and only a portion of it can be shown.