- What is spectral averaging?
- Can you average an FFT?
- How do you find the magnitude of a spectrum?
- What is a magnitude spectra?
What is spectral averaging?
Spectral averaging is a different approach and is a type of ensemble averaging, which means that the “sample” and “mean value” are both spectra. The “mean value” spectrum results from averaging “sample” spectra. It isn't quite that simple though, because of the nature of the spectra.
Can you average an FFT?
You can perform averaged measurements on an FFT channel to improve measurement accuracy or to help compensate for a low signal-to-noise ratio.
How do you find the magnitude of a spectrum?
The rectangular window is the signal y(t) = u(t + 1) − u(t − 1). Use MATLAB to compute the magnitude spectrum of x(t) and y(t) and indicate which is the smoother of the two by considering the presence of high frequencies as an indication of roughness.
What is a magnitude spectra?
The Magnitude Spectrum of a signal describes a signal using frequency and amplitude. That is frequency components of a periodic signal are plotted using Frequency Domain - frequencies plotted in X-axis and amplitude plotted in Y-axis.