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Sec. 3–3 Pulse Code Modulation 147<br />

signal. Consequently, the spectrum of the PCM signal is not directly related to the spectrum of<br />

the input analog signal (as will be shown in Secs. 3–4 and 3–5).<br />

The bandwidth of (serial) binary PCM waveforms depends on the bit rate and the waveform<br />

pulse shape used to represent the data. From Fig. 3–8, the bit rate is<br />

R = nf s<br />

(3–14)<br />

where n is the number of bits in the PCM word (M = 2 n ) and f s is the sampling rate. For no<br />

aliasing, we require that f s Ú 2B, where B is the bandwidth of the analog signal (that is to be<br />

converted to the PCM signal). In Sec. 3–4, we see that the dimensionality theorem shows that<br />

the bandwidth of the binary encoded PCM waveform is bounded by<br />

B PCM Ú 1 2 R = 1 2 nf s<br />

(3–15a)<br />

1<br />

the minimum bandwidth of<br />

2 R = 1 2 nf s is obtained only when (sin x) > x type pulse shape is<br />

used to generate the PCM waveform. However, usually a more rectangular type of pulse<br />

shape is used, and consequently, the bandwidth of the binary-encoded PCM waveform will<br />

be larger than this minimum. Details of line codes and pulse shape selection will be studied<br />

later in Sections 3–5 and 3–6. The exact bandwidth that is attained will depend on what<br />

selection is used. For example, referring to Fig. 3–15, suppose that one selects the typical<br />

case of a rectangular pulse shape and uses a unipolar NRZ, a polar NRZ, or a bipolar RZ<br />

PCM waveform as shown in Figs. 3–15b, 3–15c, and 3–15e. These are typical of waveforms<br />

generated by popular PCM integrated circuits. Then, as shown in Figs. 3–16a, 3–16b, and<br />

3–16d, the null bandwidth will be the reciprocal of the pulse width, which is 1><br />

T b R for<br />

these cases of binary signaling. Thus, for rectangular pulses, the first null bandwidth is<br />

B PCM = R = nf s (first null bandwidth)<br />

(3–15b)<br />

Table 3–2 presents a tabulation of this result for the case of the minimum sampling rate,<br />

f s 2B. Note that the dimensionality theorem of Eq. (3–15a) demonstrates that the bandwidth<br />

of the PCM signal has a lower bound given by<br />

B PCM Ú nB<br />

(3–15c)<br />

where f s Ú 2B and B is the bandwidth of the corresponding analog signal. Thus, for reasonable<br />

values of n, the bandwidth of the serial PCM signal will be significantly larger than the<br />

bandwidth of the corresponding analog signal that it represents. For the example shown in<br />

Fig. 3–8 where n 3, the PCM signal bandwidth will be at least three times wider than that<br />

of the corresponding analog signal. Furthermore, if the bandwidth of the PCM signal is<br />

reduced by improper filtering or by passing the PCM signal through a system that has a poor<br />

frequency response, the filtered pulses will be elongated (stretched in width), so that pulses<br />

corresponding to any one bit will smear into adjacent bit slots. If this condition becomes too<br />

serious, it will cause errors in the detected bits. This pulse-smearing effect is called<br />

intersymbol interference (ISI). The filtering specifications for a signal without ISI are<br />

discussed in Sec. 3–6.

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