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Sec. 3–2 Pulse Amplitude Modulation 133<br />

The following are the four main goals of this chapter:<br />

• To study how analog waveforms can be converted to digital waveforms. The most<br />

popular technique is called pulse code modulation (PCM).<br />

• To learn how to compute the spectrum for digital signals.<br />

• To examine how the filtering of pulse signals affects our ability to recover the digital<br />

information at the receiver. This filtering can produce what is called intersymbol interference<br />

(ISI) in the recovered data signal.<br />

• To study how we can multiplex (combine) data from several digital bit streams into one<br />

high-speed digital stream for transmission over a digital system. One such technique,<br />

called time-division multiplexing (TDM), will be studied in this chapter. †<br />

Another very important problem in digital communication systems is the effect of noise,<br />

which may cause the digital receiver to produce some bit errors at the output. This problem<br />

will be studied in Chapter 7 since it involves the use of statistical concepts that are emphasized<br />

in the second part of this book.<br />

3–2 PULSE AMPLITUDE MODULATION<br />

Pulse amplitude modulation (PAM) is an engineering term that is used to describe the conversion<br />

of the analog signal to a pulse-type signal in which the amplitude of the pulse denotes the<br />

analog information. PAM is studied first because the analog-to-PAM conversion process is the<br />

first step in converting an analog waveform to a PCM (digital) signal. In a few applications<br />

the PAM signal is used directly and conversion to PCM is not required.<br />

The sampling theorem, studied in Chapter 2, provides a way to reproduce an analog<br />

waveform by using sample values of that waveform and (sin x)x orthogonal functions. The<br />

purpose of PAM signaling is to provide another waveform that looks like pulses, yet contains<br />

the information that was present in the analog waveform. Because we are using pulses, we<br />

would expect the bandwidth of the PAM waveform to be wider than that of the analog waveform.<br />

However, the pulses are more practical to use in digital systems. We will see, that the<br />

pulse rate, f s , for PAM is the same as that required by the sampling theorem, namely, f s Ú 2B,<br />

where B is the highest frequency in the analog waveform and 2B is called the Nyquist rate.<br />

There are two classes of PAM signals: PAM that uses natural sampling (gating) and PAM<br />

that uses instantaneous sampling to produce a flat-top pulse. These signals are illustrated<br />

in Figs. 3–1 and 3–5, respectively. The flat-top type is more useful for conversion to PCM;<br />

however, the naturally sampled type is easier to generate and is used in other applications.<br />

Natural Sampling (Gating)<br />

DEFINITION. If w(t) is an analog waveform bandlimited to B hertz, the PAM signal<br />

that uses natural sampling (gating) is<br />

w s (t) = w(t) s(t)<br />

(3–1)<br />

† Other techniques, including frequency division multiplexing, and code division multiplexing, are covered in<br />

Chapters 5 and 8.

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