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158 Chapter 5 THE DISCRETE FOURIER TRANSFORM<br />

4<br />

Magnitude of the DTFT<br />

3<br />

|X|<br />

2<br />

1<br />

0<br />

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2<br />

frequency in π units<br />

200<br />

Angle of the DTFT<br />

100<br />

Degrees<br />

0<br />

−100<br />

−200<br />

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2<br />

frequency in π units<br />

FIGURE 5.4 The DTFT plots in Example 5.6<br />

angle part. Generally these angles should be ignored. The plot of DFT values<br />

is shown in Figure 5.5. The plot of X(e jω )isalso shown as a dashed line for<br />

comparison. From the plot in Figure 5.5 we observe that X 4 correctly gives<br />

4 samples of X(e jω ), but it has only one nonzero sample. Is this surprising? By<br />

looking at the 4-point x(n), which contains all 1’s, one must conclude that its<br />

periodic extension is<br />

˜x(n) =1, ∀n<br />

which is a constant (or a DC) signal. This is what is predicted by the DFT<br />

X 4(k), which has a nonzero sample at k =0(or ω =0)and has no values at<br />

other frequencies.<br />

□<br />

□ EXAMPLE 5.7 How can we obtain other samples of the DTFT X(e jω )?<br />

Solution<br />

It is clear that we should sample at dense (or finer) frequencies; that is, we<br />

should increase N. Suppose we take twice the number of points, or N = 8<br />

instead of 4. This we can achieve by treating x(n) asan8-point sequence by<br />

appending 4 zeros.<br />

x(n) ={1, 1, 1, 1, 0, 0, 0, 0}<br />

↑<br />

Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).<br />

Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

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