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Sec. 3–13 Study-Aid Examples 225<br />

(a) Find and sketch the magnitude spectrum for the PAM signal.<br />

(b) Find a numerical value for the first null bandwidth of the PAM signal.<br />

Solution.<br />

(a) Using W(f ) = 2 (fB) in Eq. (3–10), MATLAB computes and plots the spectrum shown<br />

in Fig. 3–47. The plot shows how W(f) is repeated at harmonics of the sampling<br />

sin pt f<br />

frequency and weighted by the ta function (caused by the rectangular pulse<br />

pt f<br />

b<br />

shape).<br />

1.6<br />

Magnitude Spectrum of Flat-Topped PAM<br />

1.4<br />

1.2<br />

1<br />

|W s (f)|<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

–5<br />

–4 –3 –2 –1 0 1 2 3 4 5<br />

f<br />

Figure 3–47 Solution for SA3-1. (See SA3_1.m.)<br />

(b) The spectrum first goes to zero at B = 3 kHz. For this spectrum, 3 kHz is not a good<br />

measure of bandwidth, because the spectral magnitude becomes large again at higher<br />

frequencies. In examples like this, engineers use the envelope of the spectrum to specify<br />

the null bandwidth. Thus, the first null bandwidth of the spectral envelope, t 2<br />

B null = 1 t = 1100 µs = 10 kHz.<br />

sin pt f<br />

2 , is<br />

pt f<br />

SA3–2 PCM Signal Bandwidth and SNR In a communications-quality audio system,<br />

an analog voice-frequency (VF) signal with a bandwidth of 3,200 Hz is converted into a PCM<br />

signal by sampling at 7,000 sampless and by using a uniform quantizer with 64 steps. The<br />

PCM binary data are transmitted over a noisy channel to a receiver that has a bit error rate<br />

(BER) of 10 -4 .

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