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To calculate the power of white noise, you can use the formula for power, which is the mean of the squared values of the signal. For a white noise signal represented as ( x(t) ), the power ( P ) can be calculated using ( P = \frac{1}{T} \int_0^T x^2(t) dt ), where ( T ) is the duration of the observation. Since white noise has a constant power spectral density, its power is generally equal to the variance of the noise signal. In discrete terms, if you have a sample of white noise, the power can be approximated as the average of the squared samples.

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1mo ago

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