Digital Signal Processing Reference
In-Depth Information
Fig. 4.2 Signal a and its
Fourier transform
ˇ
(a)
x
(
t
)
1
t
T
0
1
1
(b)
X
(
j
)
T
0.5
0
-0.5
-4
-2
0
2
4
2
T
π
Z
1
j
x
ð
t
Þ
j
dt\
1:
1
Whatever the way to get Fourier transform a pair of Fourier integrals allows to
go from time to frequency domain and the other way round, [
5
,
8
]. The integrals
describing simple and inverse transformations are as follows:
X
ð
jx
Þ¼
Z
1
x
ð
t
Þ
exp
ð
jxt
Þ
dt
;
ð
4
:
3
Þ
1
Z
1
x
ð
t
Þ¼
1
2p
X
ð
jx
Þ
exp
ð
jxt
Þ
dx
:
ð
4
:
4
Þ
1
Example 4.2 Applying Fourier transform determine spectrum of the signal x(t)
that is equal 1.0 for the time range from zero to T and equal 0.0 otherwise
(Fig.
4.2
a). Draw the magnitude of this spectrum as a function of frequency.
Solution Application of the formula (
4.3
) yields:
X
ð
jx
Þ¼
Z
T
exp
ð
jxt
Þ
dt
¼
T
sin
ð
p
Þ
p
exp
ð
jp
Þ;
0
where
p
¼
xT
2
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