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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