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Random signals in time domain and frequency domain characteristics can be studied using statistical methods, and its amplitude characteristics of the signal mean 更多：https://www.bmcx.com/ , mean square value and the probability density function. The time-domain characteristics of the signal autocorrelation function describes the frequency domain characteristics of the power spectral density function description.

Random signals in time domain and frequency domain characteristics can use statistical methods to study, its amplitude characteristics using mean 更多：https://www.bmcx.com/ , mean square values of the signal and the probability density function. Signal time domain characteristics of auto-correlation function can also be used, frequency domain characteristics of power spectrum density function.

Random signal of time domain and frequency domain properties can use statistical methods, of which the amplitude of the mean value and using the signal characteristics of the mean square value and probability density function said. The signal characteristics of time domain can also use the autocorrelation function description 更多：https://www.bmcx.com/ , the characteristics of frequency domain with power spectral density function description.

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