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NO 5) Gaussian white noise with power spectral density function Sw (f) = and power spectral density function Sx(f) = kf which is 0

NO 5) Gaussian white noise with power spectral density function Sw (f) = and power spectral density function Sx(f) = kf which is 0 elsewhere, adds up. The signal s (t), which is the sum of the two signals, is applied to the ideal low-pass filter whose bandwidth B is B>W. Give values to the parameters No, k, B, W. After giving value to the parameters, find the SNR value of the signal y (t) at the filter output and - W

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