310 CHAPTER 5: Frequency Analysis: The Fourier Transform
FIGURE 5.3
Magnitude and phase
spectrum of two-sided
signalx(t)=e−|t|. The
magnitude spectrum
indicatesx(t)is low
pass. Notice the phase
is zero.
− 10 − 5 0 5 10
0
0.2
0.4
0.6
0.8
1
t(sec)
x(
t)
− 10 − 5 0 5 10
0
0.5
1
1.5
2
Ω
|X
(Ω
)|
− 20 0 20
− 1
0
1
Ω
<X
(Ω
)
and according to the given resultx 1 (−t) (α=− 1 ), we have that
F[x 1 (−t)]=
1
−j+a
so that
X()=
1
j+a
+
1
−j+a
=
2 a
a^2 +^2
Ifa=1, using MATLAB the signalx(t)=e−|t|and its magnitude and phase spectra are com-
puted and plotted as shown in Figure 5.3. SinceX()is real and positive, the corresponding
phase spectrum is zero. This signal is calledlow-passsince its energy is concentrated in the low
frequencies. n
5.5.3 Duality
Besides the inverse relationship of frequency and time, by interchanging the frequency and the time
variables in the definitions of the direct and the inverse Fourier transform (see Eqs. 5.1 and 5.2)
similar equations are obtained. Thus, the direct and the inverse Fourier transforms are dual.
To the Fourier transform pair
x(t) ⇔ X() (5.7)
corresponds the following dual–Fourier transform pair
X(t) ⇔ 2 πx(−) (5.8)