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Sec. 2–11 Study-Aid Examples 115<br />

SA2–5 Evaluation of FT by Superposition<br />

Fig. 2–26. Find the Fourier transform of w(t).<br />

Assume that w(t) is the waveform shown in<br />

Solution. Referring to Fig. 2–26, we can express w(t) as the superposition (i.e., sum) of two<br />

rectangular pulses:<br />

Using Table 2–2 and Table 2–1, we find that the FT is<br />

or<br />

w(t) =ßa t - 2<br />

4<br />

b + 2ßa t - 2<br />

2<br />

W(f) = 4Sa(pf4)e -jv2 + 2(2)Sa(pf2)e -jv2<br />

W(f) = 4[Sa(4pf) + Sa(2pf) e -j4pf<br />

SA2–6 Orthogonal Functions Show that w 1 (t) =ß(t) and w 2 (t) = sin 2pt are orthogonal<br />

functions over the interval -0.5 6 t 6 0.5.<br />

Solution.<br />

b<br />

b<br />

0.5<br />

w 1 (t) w 2 (t) dt = 1 sin 2ptdt = - `<br />

La<br />

3<br />

-0.5<br />

cos 2pt<br />

2p<br />

= -1 [cos p - cos (-p)] = 0<br />

2p<br />

0.5<br />

`<br />

-0.5<br />

Because this integral is zero, Eq. (2–77) is satisfied. Consequently, ß(t) and sin 2pt are orthogonal<br />

over -0.5 6 t 6 0.5. [Note: ß(t) and sin 2pt are not orthogonal over the interval<br />

0 6 t 6 1, because ß(t) is zero for t 7 0.5. That is, the integral is 1/ p (which is not zero).]<br />

SA2–7 Use FS to Evaluate PSD Find the Fourier series and the PSD for the waveform shown<br />

in Fig. 2–25. Over the time interval 0 6 t 6 1, v(t) is described by e t .<br />

w(t)<br />

3<br />

2<br />

1<br />

1 2 3 4<br />

Figure 2–26<br />

t

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