Why use cross-spectral density to calculate frequency response?

1. What is cross spectral density?
2. What is cross spectrum analysis?
3. What is cross PSD?
4. What is PSD and what is its relationship with autocorrelation?

What is cross spectral density?

Cross spectral density is a type of covariance measurement between two signals. The two signals do not necessarily need to have the same units, and a normalized unit system may be used to quantify this type of covariance, making their correlation equal to their covariance.

What is cross spectrum analysis?

Cross spectral analysis allows one to determine the relationship between two time series as a function of frequency.

What is cross PSD?

Cross power spectral density ❲CPSD❳, or cross-spectrum, is a spectral analysis that compares two signals. It gives the total noise power spectral density of two signals. The only condition is that there should be some phase difference or time delay between these two signals.

What is PSD and what is its relationship with autocorrelation?

Power spectrum density is basically Fourier transform of auto-correlation function of power signal. This property is helpful for calculating power of any power signal. of signal at t=0. if Rff is Real and Even then itsPower spectrum density( PSDf) also Real and Even .