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Problems 483<br />

The power of n 1 (t) is 5 W, the power of n 2 (t) is 10 W, the DC value of n 1 (t) is -2 V, and the DC<br />

value n 2 is +1 V. Find the power of n(t) if<br />

(a) n 1 (t) and n 2 (t) are orthogonal.<br />

(b) n 1 (t) and n 2 (t) are uncorrelated.<br />

(c) The cross-correlation of n 1 (t) and n 2 (t) is 2 for t = 0.<br />

6–10 Assume that x(t) is ergodic, and let x(t) = m x + y(t), where m x = x(t) is the DC value of x(t) and<br />

y(t) is the AC component of x(t). Show that<br />

(a) R x (t) = m 2 x + R y (t).<br />

(b) lim t : qR x (t) = m 2 x .<br />

(c) Can the DC value of x(t) be determined from R x (t)?<br />

★ 6–11 Determine whether the following functions satisfy the properties of autocorrelation functions:<br />

(a) sin v 0 t.<br />

(b) (sin v 0 t)(v 0 t).<br />

(c) cos v 0 t + d(t).<br />

(d) e -a| t | , where a 6 0.<br />

(e) (Note: [R(t)] must also be a nonnegative function.)<br />

6–12 A random process x(t) has an autocorrelation function given by R x (t) = 5 + 8e -3|τ | . Find<br />

(a) The RMS value for x(t).<br />

(b) The PSD for x(t).<br />

★ 6–13 The autocorrelation of a random process is R x (t) = 4e - t2 + 3. Plot the PSD for x(t) and evaluate<br />

the RMS bandwidth for x(t).<br />

6–14 Show that two random processes x(t) and y(t) are uncorrelated (i.e., R xy (t) = m x m y ) if the<br />

processes are independent.<br />

6–15 If x(t) contains periodic components, show that<br />

(a) R x (t) contains periodic components.<br />

(b) x ( f ) contains delta functions.<br />

6–16 Find the PSD for the random process described in Prob. 6–2.<br />

6–17 Determine whether the following functions can be valid PSD functions for a real process:<br />

(a) 2e -2p|f-45| .<br />

(b) 4e -2p|f2 -16|.<br />

(c) 25 + d(f - 16).<br />

(d) 10 + d(f).<br />

★ 6–18 The PSD of an ergodic random process x(t) is<br />

1<br />

x (f) = B (B - |f| ), |f| … B<br />

L<br />

0, f elsewhere<br />

where B 7 0. Find<br />

(a) The RMS value of x(t).<br />

(b) R x (t).<br />

6–19 Referring to the techniques described in Example 6–4, evaluate the PSD for a PCM signal that<br />

uses Manchester NRZ encoding. (See Fig. 3–15.) Assume that the data have values of a n =;1,<br />

which are equally likely, and that the data are independent from bit to bit.

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