Consider a baseband binary PAM receiver shown below. The additive channel noise () is whit with power spectral density S() = N/2 = 10 W/Hz. The low-pass filter is ideal with unity gain and cutoff frequency 1 MHz. Let Y represent the random variable ().Y = nN if transmitted bit b = 0Y = + N if transmitted bit b = 1Where represents the noise sample value. The noise sample has a probability density function, P() = 0.5 (This has mean zero and variance 2/). Assume transmitted bits to be equiprobable and threshold is set to /2 = 10 V.The value of the parameter (in V) is

Consider a baseband binary PAM receiver shown below. The additive chan

1.	Consider a baseband binary PAM receiver shown below. The additive channel noise () is whit with power spectral density S() = N/2 = 10 W/Hz. The low-pass filter is ideal with unity gain and cutoff frequency 1 MHz. Let Y represent the random variable ().Y = nN if transmitted bit b = 0Y = + N if transmitted bit b = 1Where represents the noise sample value. The noise sample has a probability density function, P() = 0.5 (This has mean zero and variance 2/). Assume transmitted bits to be equiprobable and threshold is set to /2 = 10 V.The value of the parameter (in V) is
Answer» → exist in fourier transform Variance = which is equal to power since mean is zero &Rightarrow; a = 107.