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Sec. 3–4 Digital Signaling 161<br />

1.5<br />

1<br />

w 1 (t)<br />

0.5<br />

0<br />

–0.5<br />

0<br />

1<br />

2 3 4<br />

t(ms)<br />

5 6 7 8<br />

(a) Rectangular Pulse Shape, T b =1 ms<br />

1.5<br />

1<br />

w 2 (t)<br />

0.5<br />

0<br />

–0.5<br />

0<br />

1<br />

2 3 4<br />

5 6 7 8<br />

(b) sin(x)/x Pulse Shape, T b =1 ms<br />

t(ms)<br />

Mid-symbol<br />

sampling<br />

Figure 3–12<br />

Binary signaling (computed). (See Example3_07.m.)<br />

What is the bandwidth for the waveform in Fig. 3–12a? Using Eq. (3–32), we find that<br />

1<br />

the lower bound for the bandwidth is 2D = 500 Hz. In Sec. 3–5, it is shown that the actual null<br />

bandwidth of this binary signal with a rectangular pulse shape is B = 1T s = D = 1,000 Hz. This<br />

is larger than the lower bound for the bandwidth, so the question arises, What is the waveshape<br />

that gives the lower bound bandwidth of 500 Hz? The answer is one with sin (x)x pulses, as<br />

described in Case 2.<br />

CASE 2. SIN (X)/X PULSE ORTHOGONAL FUNCTIONS From an intuitive<br />

viewpoint, we know that the sharp corners of the rectangular pulse need to be rounded to reduce<br />

the bandwidth of the waveform. Furthermore, recalling our study with the sampling theorem,<br />

Eq. (2–158), we realize that the sin (x)x-type pulse shape has the minimum bandwidth.<br />

Consequently, we choose<br />

w k (t) =<br />

sin e p T s<br />

(t - kT s )f<br />

p<br />

T s<br />

(t - kT s )<br />

(3–33)

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