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480<br />

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

where h(t) is the impulse response of the filter. Taking the expected value, we get<br />

However, the transfer function of the filter is<br />

so that<br />

q<br />

H(0) = - q<br />

m y = y(t) = h(t) * x(t) = h(t) * x(t) = h(t) * m x<br />

q<br />

q<br />

= h(l)m x dl = m x h(l) dl<br />

L L<br />

-q<br />

q<br />

H(f) = [h(t)] = h(t) e -j2pft dt<br />

L<br />

-q<br />

-q<br />

h(t) dt. Thus, Eq. (6–196) reduces to<br />

m y = m x H(0)<br />

(6–196)<br />

(6–197)<br />

SA6–3 Average Power Out of a Differentiator Let y(t) = dn(t)/dt, where n(t) is a randomnoise<br />

process that has a PSD of n ( f ) = N 0 2 = 10 -6 W/Hz. Evaluate the normalized power of<br />

y(t) over a low-pass frequency band of B = 10 Hz.<br />

Solution<br />

Thus,<br />

or<br />

y ( f ) = |H( f )| 2 n ( f ), where, from Table 2–1, H( f ) = j 2p f for a differentiator.<br />

B<br />

B<br />

P y = y (f) df = (2pf) 2 N 0<br />

L L 2<br />

-B<br />

-B<br />

df =<br />

8p2<br />

3 a N 0<br />

2 bB3<br />

P y = 8p2<br />

3 (10-6 )(10 3 ) = 0.0263 W<br />

(6–198)<br />

p x (f)<br />

2<br />

(a) PSD for x(t)<br />

–2 –1 1 2<br />

p v (f)<br />

f<br />

1<br />

–f c -2 –f c –f c +2 f c -2 f c f c +2<br />

(b) PSD for v(t)<br />

Figure 6–22<br />

PSD for SA6–4.<br />

f

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