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488<br />

Random Processes and Spectral Analysis Chap. 6<br />

★ 6–45 A USSB signal is<br />

v(t) = 10 Re{[x(t) + jxN(t)]e j(v ct+u c ) }<br />

where u c is a random variable that is uniformly distributed over (0, 2p). The PSD for x(t) is given<br />

in Fig. P6–31. Find<br />

(a) The PSD for v(t).<br />

(b) The total power of v(t).<br />

6–46 Show that R xN (t) = R x (t).<br />

6–47 Show that R xxN (t) = RN x (t),<br />

where the caret symbol denotes the Hilbert transform.<br />

6–48 A bandpass random signal can be represented by<br />

s(t) = x(t) cos(v c t + u c ) - y(t) sin(v c t + u c )<br />

where the PSD of s(t) is shown in Fig. P6–48. u c is an independent random variable that is uniformly<br />

distributed over (0, 2p). Assume that f 3 - f 2 = f 2 - f 1 . Find the PSD for x(t) and y(t) when<br />

(a) f c = f 1 . This is USSB signaling, where y(t) = xN(t).<br />

(b) f c = f 2 . This represents independent USSB and LSSB signaling with two different<br />

modulations.<br />

(c) f 1 6 f c 6 f 2 . This is vestigial sideband signaling.<br />

(d) For which, if any, of these cases are x(t) and y(t) orthogonal?<br />

p s (f)<br />

A<br />

–f 3 –f 2 –f 1 f 1 f 2 f 3<br />

f<br />

Figure P6–48<br />

★ 6–49 Referring to Prob. 6–48(b), how are the two modulations m 1 (t) and m 2 (t) for the independent<br />

sidebands related to x(t) and y(t)? Give the PSD for m 1 (t) and m 2 (t), where m 1 (t) is the modulation<br />

on the USSB portion of the signal and m 2 (t) is the modulation on the LSSB portion<br />

of s(t).<br />

6–50 For the bandpass random process, show that Equation (6–133m) is valid (property 13).<br />

6–51 For the bandpass random process, show that Equation (6–133i) is valid (property 9).<br />

★ 6–52 Referring to Example 6–12, find the PSD for a BPSK signal with Manchester-encoded data. (See<br />

Fig. 3–15.) Assume that the data have values of a n =;1 which are equally likely and that the data<br />

are independent from bit to bit.<br />

6–53 The input to an envelope detector is an ergodic bandpass Gaussian noise process. The RMS value<br />

of the input is 2 V and the mean value is 0 V. The envelope detector has a voltage gain of 10. Find<br />

(a) The DC value of the output voltage.<br />

(b) The RMS value of the output voltage.

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