Consider a baseband binary PAM receiver shown below. The additive channel noise n(t) is whit with power spectral density SN(f) = N0/2 = 10-20 W/Hz. The low-pass filter is ideal with unity gain and cutoff frequency 1 MHz. Let Yk represent the random variable y(tk).Yk = nNk if transmitted bit bk = 0Yk = a + Nk if transmitted bit bk = 1Where Nk represents the noise sample value. The noise sample has a probability density function, PNk(n) = 0.5ae-a|n| (This has mean zero and variance 2/a2). Assume transmitted bits to be equiprobable and threshold z is set to a/2 = 10-6 V.The probability of bit error 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 n(t) is whit with power spectral density SN(f) = N0/2 = 10-20 W/Hz. The low-pass filter is ideal with unity gain and cutoff frequency 1 MHz. Let Yk represent the random variable y(tk).Yk = nNk if transmitted bit bk = 0Yk = a + Nk if transmitted bit bk = 1Where Nk represents the noise sample value. The noise sample has a probability density function, PNk(n) = 0.5ae-a\|n\| (This has mean zero and variance 2/a2). Assume transmitted bits to be equiprobable and threshold z is set to a/2 = 10-6 V.The probability of bit error is
A.	0.5 x e-3.5
B.	0.5 x e-5
C.	0.5 x e-7
D.	0.5 x e-10
Answer» E.