Digital Signal Processing Reference
In-Depth Information
Comparing the above equation with the CTFS expansion,
x ( t ) = a 0 +
( a n cos( n ω 0 t ) + b n sin( n ω 0 t )) ,
n = 1
with ω 0
=
2, we obtain
3
2
=−
= 1
a 0
=
3 , a 2
=
2 , a 5
=
, b 2
2 , and b 5
2 .
=
The CTFS coefficients a n and b n , for values of n other than n
0, 2, and 5, are
all zeros.
Example 4.11
A periodic signal is represented by the following CTFS:
x ( t ) = 2
π
1
2 m + 1 sin(4 π (2 m + 1) t ) .
m = 0
(i) From the CTFS representation, determine the fundamental period T 0 of
x ( t ).
(ii) Comment on the symmetry properties of x ( t ).
(iii) Plot the function to verify if your answers to (i) and (ii) are correct.
Solution
(i) The CTFS representation is obtained by expanding the summation as follows:
= 2
π
1
2 m +
x ( t )
1 sin(4 π (2 m +
1) t )
m = 0
= 2
π
sin(4 π t ) + 1
3 sin(12 π t ) + 1
5 sin(20 π t ) + 1
7 sin(28 π t ) +
.
Note that the signal x ( t ) contains the fundamental component sin(4 π t ) and its
higher-order harmonics. Hence, the fundamental frequency is ω 0
= 4 π with
the fundamental period given by T 0
1 / 2 .
(ii) Because the CTFS contains only sine terms, x ( t ) must be odd based on
property (3) on page 156.
(iii) It is generally difficult to evaluate the function x ( t ) manually. We use a
M ATLAB function ictfs.m (provided in the accompanying CD) to calculate
x ( t ). The function, reconstructed using the first 1000 CTFS coefficients, is plot-
ted in Fig. 4.12 for
=
2 π/ 4 π
=
1 . It is observed that the function is a rectangular
pulse train with a fundamental period of 0 . 5. It is also observed that the function
is odd.
t
1
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