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Sec. 2–8 Discrete Fourier Transform 103<br />

1.5<br />

Time Waveform<br />

w(t)<br />

1<br />

0.5<br />

0<br />

0<br />

1.5<br />

1 2 3 4 5 6 7 8 9 10<br />

t (sec)<br />

Magnitude Spectrum Out to 4th Null<br />

|W(f)|<br />

1<br />

0.5<br />

¨(f) (degrees)<br />

0<br />

0<br />

100<br />

0<br />

–100<br />

–200<br />

0<br />

1.5<br />

0.5 1 1.5 2 2.5 3 3.5 4<br />

f (Hz)<br />

Phase Spectrum Out to 4th Null<br />

0.5 1 1.5 2 2.5 3 3.5 4<br />

f (Hz)<br />

Magnitude Spectrum over Whole FFT Frequency Range<br />

|W(f)|<br />

1<br />

0.5<br />

0<br />

0<br />

2 4 6 8 10 12 14<br />

f (Hz)<br />

Figure 2–21<br />

Spectrum for a rectangular pulse, using the MATLAB FFT.<br />

(See Example2_20.m for the MATLAB file.)<br />

Using the DFT to Compute the Fourier Series<br />

The DFT may be also used to evaluate the coefficients for the complex Fourier series. From<br />

Eq. (2–89),<br />

T<br />

c n = 1 w(t)e -j2pnf0t dt<br />

T L0

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